Data mining and statistics

The team’s activities concern the processing of data by statistical and computer methods. The unifying concept is that of “data mining”, a discipline that has emerged in recent years at the border of statistics, artificial intelligence and databases and aims to discover relationships and structures in preexisting data.

The theory of learning gives to data mining its conceptual foundations: we traditionally distinguish supervised or unsupervised learning.

Publications

2020

Articles de revue

  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. A robust spatial autoregressive scalar-on-function regression with t-distribution. In Advances in Data Analysis and Classification, 2020. doi  www 
  1. Zaffora, B.; Demeyer, S.; Magistris, M.; Ronchetti, E.; Saporta, G. and Theis, C. A Bayesian framework to update scaling factors for radioactive waste characterization. In Applied Radiation and Isotopes: 109092, 2020. doi  www 

Livres

  1. Diday, E.; Guan, R.; Saporta, G. and Wang, H. Advances in Data Science. Symbolic, Complex and Network Data. ISTE-WILEY, Big Data, Artificial Intelligence and Data Analysis , 2020. www 

Non publié

  1. Beaton, D.; Saporta, G. and Abdi, H. A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data. , working paper or preprint. doi  www 
  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. Spatial Functional Linear Model and its Estimation Method. , working paper or preprint. www 

2019

Articles de revue

  1. Berthelot, G. C.B.; Bar-Hen, A.; Marck, A.; Foulonneau, V.; Douady, S.; Noirez, P.; Zablocki-Thomas, P. B.; da Silva Antero, J.; Carter, P. A.; Di Meglio, J-M. and Toussaint, J-F. c. An integrative modeling approach to the age-performance relationship in mammals at the cellular scale. In Scientific Reports, 2019. doi  www 
  1. Latouche, A.; Andersen, P. K.; Rey, G. and Moreno-Betancur, M. A note on the measurement of socioeconomic inequalities in life years lost by cause of death. In Epidemiology, 30 (4): 569-572, 2019. doi  www 
  1. Duchemin, T.; Bar-Hen, A.; Lounissi, R.; Dab, W. and Hocine, M. Hierarchizing Determinants of Sick Leave. In Journal of Occupational and Environmental Medicine, 61 (8): e340-e347, 2019. doi  www 
  1. Austin, P.; Latouche, A. and Fine, J. A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model. In Statistics in Medicine, 2019. doi  www 
  1. Graffeo, N.; Latouche, A.; Le Tourneau, C. and Chevret, S. ipcwswitch: An R package for inverse probability of censoring weighting with an application to switches in clinical trials. In Computers in Biology and Medicine, 111: 103339, 2019. doi  www 
  1. Wang, H.; Gu, J.; Wang, S. and Saporta, G. Spatial partial least squares autoregression: Algorithm and applications. In Chemometrics and Intelligent Laboratory Systems, 184: 123-131, 2019. doi  www 
  1. Wang, Z.; Wang, H.; Wang, S.; Lu, S. and Saporta, G. Linear mixed-effects model for longitudinal complex data with diversified characteristics. In Journal of Management Science and Engineering, 2019. doi  www 
  1. Huang, T.; Wang, H. and Saporta, G. Spatial autoregressive model for compositional data. In Journal of Beijing University of Aeronautics and Astronautics, 2019. www 

Chapitres d'ouvrage

  1. Mariadassou, M.; Bar-Hen, A. and Kishino, H. Tree Evaluation and Robustness Testing. In Encyclopedia of Bioinformatics and Computational Biology, pages 736-745, Elsevier, 2019. doi  www 
  1. Saporta, G. 50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning. In Data Analysis and Applications 1. Clustering and Regression, Modeling-estimating, Forecasting and Data Mining, ISTE-Wiley, Data Analysis and Applications , 2019. www 

Articles de conférence

  1. Ben-younes, H.; Cadene, R.; Thome, N. and Cord, M. BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. In AAAI 2019 - 33rd AAAI Conference on Artificial Intelligence, Honolulu, United States, 2019. www 
  1. Le Guen, V. and Thome, N. Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. In Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Vancouver, Canada, Advances in Neural Information Processing Systems 32 (NIPS 2019) proceedings 4191--4203, 2019. www 
  1. Cadene, R.; Ben-younes, H.; Cord, M. and Thome, N. MUREL: Multimodal Relational Reasoning for Visual Question Answering. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2019. www 
  1. Corbière, C.; Thome, N.; Bar-Hen, A.; Cord, M. and Pérez, P. Addressing Failure Prediction by Learning Model Confidence. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), pages 2898-2909, Curran Associates, Inc., Vancouver, Canada, 2019. www 
  1. Jaupi, L. Combinations of Shewhart and CUSUM Control Charts for Individual Observations. In MMT2019, Burgas, Bulgaria, 2019. www 
  1. Niang, N. and Ouattara, M. Weighted consensus clustering for multiblock data. In SFC 2019, Paris, France, 2019. www 
  1. Audigier, V.; Husson, F. c.; Josse, J. and Resche-Rigon, M. Imputation multiple pour données mixtes par analyse factorielle. In JdS2019 - 51es Journées de Statistique de la Société Franc caise de Statistique, Vandoeuvre-lès-Nancy, France, 2019. www 
  1. Daouda, O.; Chevance, A.; Salvador, A.; Legeron, P.; Morvan, Y.; Saporta, G.; Hocine, M. and Gaillard, R. Impact of work-related psychosocial factors on mental health: A cross-sectional study in the French working population. In Work, Stress and Health 2019 Conference of the American Psychological Association, Philadelphia, United States, 2019. www 
  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Correspondence Analysis. In ASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Florence, Italy, 2019. www 
  1. Saporta, G. Science des données, données massives : défis et nouveaux métiers. In CISEM 2019, Mahdia, Tunisia, 2019. www 
  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Methods for Unsupervised Data Analysis. In The 4th International Symposium on Interval Data Modelling, Beijing, China, 2019. www 

Divers

2018

Articles de revue

  1. CHEVALIER, M.; Thome, N.; Henaff, G. and Cord, M. Classifying low-resolution images by integrating privileged information in deep CNNs. In Pattern Recognition Letters, 116: 29-35, 2018. doi  www 
  1. Bougeard, S.; Cariou, V.; Saporta, G. and Niang, N. Prediction for regularized clusterwise multiblock regression. In Applied Stochastic Models in Business and Industry, 34 (6): 852-867, 2018. doi  www 
  1. Wei, Y.; Wang, H.; Wang, S. and Saporta, G. Incremental modelling for compositional data streams. In Communications in Statistics - Simulation and Computation, 48 (8): 2229-2243, 2018. doi  www 
  1. Audigier, V.; White, I.; Jolani, S.; Debray, T.; Quartagno, M.; Carpenter, J.; van Buuren, S. and Resche-Rigon, M. Multiple Imputation for Multilevel Data with Continuous and Binary Variables. In Statistical Science, 33 (2): 160-183, 2018. doi  www 
  1. Beck, G.; Azzag, H.; Bougeard, S.; Lebbah, M. and Niang, N. A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. In Procedia Computer Science, 144: 239-250, 2018. doi  www 
  1. Bougeard, S.; Abdi, H.; Saporta, G. and Niang, N. Clusterwise analysis for multiblock component methods. In Advances in Data Analysis and Classification, 12 (2): 285-313, 2018. doi  www 
  1. Ioannidou, D.; Malherbe, L.; Beauchamp, M.; Saby, N. P. A.; Bonnard, R. and Caudeville, J. Characterization of Environmental Health Inequalities Due to Polyaromatic Hydrocarbon Exposure in France. In International Journal of Environmental Research and Public Health, 15 (12): 2680, 2018. doi  www 
  1. Desjonquères, C.; Rybak, F.; Ulloa, J. S.; Kempf, A.; Bar-Hen, A. and Sueur, J. Monitoring the acoustic activity of an aquatic insect population in relation to temperature, vegetation and noise. In Freshwater Biology, 65 (1): 107-116, 2018. doi  www 
  1. Saporta, G. Training data scientists: a few challenges. In International Journal of Data Science and Analytics, 6 (3): 201-204, 2018. doi  www 
  1. Woringer, M.; Martiny, N.; Porgho, S.; Bicaba, B. W.; Bar-Hen, A. and Mueller, J. E. Atmospheric dust, early cases, and localized meningitis epidemics in the African meningitis belt: an analysis using high spatial resolution data. In Environmental Health Perspectives, 126 (9): 097002, 2018. doi  www 
  1. Massiera, P.; Trinchera, L. and Russolillo, G. 'Evaluation de la présence des capacités marketing. Proposition d'un index multidimensionnel et hiérarchique. In Recherche et Applications en Marketing (French Edition), 33 (1): 31-55, 2018. doi  www 

Livres

  1. Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Apprentissage statistique et données massives. Editions Technip, 2018. www 

Chapitres d'ouvrage

  1. Saporta, G. From Conventional Data Analysis Methods to Big Data Analytics. In Big Data for Insurance Companies, pages 27-41, John Wiley & Sons, Inc., 2018. doi  www 
  1. Ghorbanzadeh, D.; Durand, P. and Jaupi, L. Application and generation of the univariate Skew Normal random variable. In Transactions on Engineering Technologies. 25th World Congress on Engineering, pages pp. 129-138, Springer, Transactions on Engineering Technologies. 25th World Congress on Engineering , 2018. doi  www 
  1. Saporta, G. Une brève histoire de l'apprentissage. In Apprentissage statistique et données massives, Editions Technip, 2018. www 

Articles de conférence

  1. Niang, N.; Bougeard, S. and Saporta, G. Clusterwise multiblock PLS. In SFC 2018, Paris, France, 2018. www 
  1. Durand, P.; Ghorbanzadeh, D. and Jaupi, L. Different approaches for the texture classification of a remote sensing image bank. In Ninth International Conference on Graphic and Image Processing, pages 1-9, SPIE, Qingdao, China, 2018. doi  www 
  1. Durand, P.; Ghorbanzadeh, D. and Jaupi, L. Index Theorem and Applications, a Gentle Review. In CMCGS 2018. 7th Annual International Conference on Computational Mathematics, Computational Geometry, pages pp.1-6, Digital Library, Singapore, Singapore, Series Proc. Computational Mathematics Computational Geometry and Statistics (CMCGS) , 2018. doi  www 
  1. Robert, T.; Thome, N. and Cord, M. HybridNet: Classification and Reconstruction Cooperation for Semi-supervised Learning. In ECCV 2018 - 15th European Conference on Computer Vision, pages 158-175, Springer, Munich, Germany, Lecture Notes in Computer Science 11211, 2018. doi  www 
  1. Jaupi, L. New Test Methods to Evaluate Potential Performance of Cosmetic Products. In 20th International Conference Materials, Methods & Technologies 2018, Burgas, Bulgaria, 2018. www 
  1. Jaupi, L. Statistical methods to study consistency between declared and measured values on waste packages. In COMPSTAT 2018, The 23rd International Conference on Computational Statistics, Iasi, Romania, 2018. www 
  1. Milliet de Faverges, M.; Russolillo, G.; Picouleau, C.; Merabet, B. and Houzel, B. Modelling passenger train arrival delays with Generalized Linear Models and its perspective for scheduling at main stations. In 8th International Conference on Railway Engineering (ICRE 2018), Institution of Engineering and Technology, London, United Kingdom, 2018. doi  www 
  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. SFLM: A mix of a Functional Linear Model and of a Spatial Autoregressive Model for spatially correlated functional data. In CroNoS Workshop on Functional Data Analysis, Iasi, Romania, 2018. www 

Divers

Non publié

  1. Bar-Hen, A.; Gey, S. and Poggi, J-M. Spatial CART Classification Trees. , working paper or preprint. www 

2017

Articles de revue

  1. Geronimi, J. and Saporta, G. Variable selection for multiply-imputed data with penalized generalized estimating equations. In Computational Statistics and Data Analysis, 110: 103-114, 2017. doi  www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. In Advances in Data Analysis and Classification, 11 (1): 121-138, 2017. doi  www 
  1. Saporta, G. Quelle statistique pour les Big Data?. In Statistique et Société, 5 (1), 2017. www 

Livres

  1. Bertrand, F.; Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Model Choice and Model Aggregation. Editions Technip, 2017. www 

Chapitres d'ouvrage

  1. Saporta, G. Des méthodes classiques d'analyse des données au Big Data. In Le big data pour les compagnies d'assurance, ISTE, Big Data, IA et analyse de données , 2017. www 

Articles de conférence

  1. Ben-younes, H.; Cadene, R.; Cord, M. and Thome, N. MUTAN: Multimodal Tucker Fusion for Visual Question Answering. In 2017 IEEE International Conference on Computer Vision (ICCV), pages 2631-2639, IEEE, Venice, Italy, 2017 IEEE International Conference on Computer Vision (ICCV) , 2017. doi  www 
  1. Jaupi, L. Using Big Data to Display the Quality of Service Provided on a Bike-Shared Network. In 19th International Conference Materials, Methods & Technologies 2017, Burgas, Bulgaria, 2017. www 
  1. Jaupi, L. Dual-use performance measures for customer service evaluation in bike-shared systems. In 61st World Statistics Congress -- WSC-ISI2017, Marrakech, Morocco, 2017. www 
  1. Ghorbanzadeh, D.; Durand, P. and Jaupi, L. A method for the Generate a random sample from a finite mixture distributions. In CMCGS 2017. 6th Annual International Conference on Computational Mathematics, Computational Geometry & Statistics, Singapore, Singapore, 2017. doi  www 
  1. Ghorbanzadeh, D.; Durand, P. and Jaupi, L. Generating the Skew Normal random variable. In World Congress on Engineering 2017, pages 113-116, London-UK, United Kingdom, 2017. www 
  1. Renosh, P.; Jourdin, F.; Charantonis, A. A.; Yala, K.; Badran, F.; Thiria, S.; Guillou, N. and Gohin, F. Construction of multi-year time series profiles of suspended particulate inorganic matter concentrations from highly dynamic coastal waters of the English Channel using self-organizing maps and hidden Markov model. In Third International Ocean Colour Science Meeting, Lisbon, Portugal, 2017. www 
  1. Bougeard, S.; Niang-Keita, N.; Preda, C. and Saporta, G. Clusterwise Sparse PLS. In PLS'17, Macao, Macau SAR China, 2017. www 
  1. Hocine, M.; Bouziad, K. A.; Légeron, P.; Dab, W. and Saporta, G. IDENTIFICATION ET HIERARCHISATION DES FACTEURS PSYCHOSOCIAUX LIES AU STRESS AU TRAVAIL. In 49 èmes journées de statistique, Avignon, France, 2017. www 
  1. Saporta, G. Clusterwise methods, past and present. In ISI 2017 61st World Statistics Congress, Marrakech, Morocco, 2017. www 
  1. Hocine, M.; Feropontova, N.; Niang, N.; Ait-Bouziad, K. and Saporta, G. Importance of factors contributing to work-related stress: comparison of four metrics. In ASMDA 2017, London, United Kingdom, 2017. www 
  1. Saporta, G. Expliquer ou prédire? Les nouveaux défis. In Chimiometrie 2017, Paris, France, 2017. www 
  1. Donnet, S.; Bar-Hen, A. and BARBILLON, P. Modèles `a blocs latents pour graphe multipartite Application aux interactions entre espèces animales et plantes. In 49. Journées de Statistique de la SFdS, pages np, Avignon, France, 2017. www 

2016

Articles de revue

  1. Ghorbanzadeh, D.; Durand, P. and Jaupi, L. An Analytical Method for Detecting the Change-Point in Simple Linear Regression Model. Application at Weibull Distribution. In Journal of Applied Quantitative Methods, 11 (1): pp. 1-13, 2016. www 
  1. Zaffora, B.; Magistris, M.; Saporta, G. and La Torre, F. P. Statistical sampling applied to the radiological characterization of historical waste. In EPJ N - Nuclear Sciences & Technologies, 2016. doi  www 
  1. Niang Keita, N.; Saporta, G.; Crucianu, M. and Rigaux, P. Le certificat `` Analyste de données massives '' du Conservatoire national des arts et métiers. In Statistique et Enseignement, 2016. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M. and Saporta, G. Improving stacking methodology for combining classifiers: applications to cosmetic industry. In Electronic Journal of Applied Statistical Analysis, 09 (2): 340-361, 2016. doi  www 

Articles de conférence

  1. Jaupi, L. Finding critical process parameters that are responsible for defects in composite materials by means of data mining. In 18th International Conference on Materials, Methods and Technologies, MM&T 2016, Burgas, Bulgaria, 2016. www 
  1. Ghorbanzadeh, D.; Durand, P. and Jaupi, L. Problem of Change-Point Detection for the Poisson Observations. In World Congress on Engineering 2016, pages 20-22, London-UK, United Kingdom, 2016. www 
  1. Hocine, M.; Nkam Beriye, D. L.; Burgel, P. R.; Latouche, A.; Lambert, J. and Bellis, G. A 5-year predictive model of French patients with cystic fibrosis. In European Cystic Fibrosis Conference - ECFC, Bâle, Switzerland, 2016. www 
  1. GERONIMI, J. and Saporta, G. Variable selection for multiply imputed data with penalized generalized estimating equations. In XXVIIIth International Biometric Conference, Victoria, Canada, 2016. www 
  1. Bougeard, S.; Niang, N. and Saporta, G. Regularized clusterwise multiblock regression. In Compstat 2016, Oviedo, Spain, 2016. www 
  1. Saporta, G. Some Sparse Methods for High Dimensional Data. In H2DM International Workshop on High Dimensional Data Mining, Naples, Italy, 2016. www 
  1. GERONIMI, J. and Saporta, G. Intégrer les données manquantes dans la sélection de variables pour données longitudinales. In 48 èmes Journées de Statistique, Montpellier, France, 2016. www 
  1. Niang, N.; Bougeard, S. and Saporta, G. Prédiction en régression clusterwise PLS. In 48 èmes Journées de Statistique, Montpellier, France, 2016. www 
  1. Zaffora, B.; Magistris, M. and Saporta, G. A New Approach to Estimate Uncertainty in Waste Characterization. In Advances in Nuclear Nonproliferation Technology and Policy Conference, Santa Fe, United States, 2016. www 
  1. GERONIMI, J. and Saporta, G. Variable selection for longitudinal biomarkers constrained by a detection limit. In Compstat 2016, Oviedo, Spain, 2016. www 
  1. Saporta, G. Predictive versus Generative Modelling: a Challenge for (Social) Sciences. In Data Science & Social Research Conference, Naples, Italy, 2016. www 

Divers

  1. Zaffora, B.; Chevalier, J-P.; La Torre, F.; Luccioni, C.; Magistris, M. and Saporta, G. Statistical learning approaches applied to the calculation of scaling factors for radioactive waste characterization. , Poster. doi  www 

Actes de colloque

  1. Abdi, H.; Esposito Vinzi, V.; Saporta, G.; Russolillo, G. and Trinchera, L. The Multiple Facets of Partial Least Squares Methods. Springer, 2016. www 

Non publié

  1. Nardi, L.; Brajard, J.; Thiria, S.; Badran, F. and Fortin, P. Automatic generation of parallel and coherent code using the YAO variational data assimilation framework. , working paper or preprint. www 

2015

Articles de revue

  1. Saporta, G. A Conversation with Jean-Louis Bodin. In International Statistical Review, 83 (1): 2-16, 2015. doi  www 

Chapitres d'ouvrage

  1. Jaupi, L. Variable Selection with Pre-Assigned Roles and Cost-Utility Analysis for Process Monitoring. In Transactions on Engineering Technologies, pages 425-436, Springer Netherlands, IAENG Transactions on Engineering Technologies- World Congress on Engineering 2014 , 2015. doi  www 
  1. Durand, P.; Jaupi, L. and Ghorbanzadeh, D. Construction Of Radar SAR Images From Digital Terrain Model And Geometric Corrections. In Transactions on Engineering Technologies, pages pp. 657-668, Springer, 2015. doi  www 
  1. Jaupi, L. Variable Selection Methods For Process Monitoring. In IAENG Transactions on Engineering Technologies, pages pp. 425-436, Springer, IAENG Transactions on Engineering Technologies- World Congress on Engineering 2014 IV, 2015. doi  www 
  1. Saporta, G. Actualité de l'analyse des données. In Alfredo Rizzi, l'uomo e l'opera, pages 43-52, RCE-Multimedia, 2015. www 

Articles de conférence

  1. Durand, P.; Jaupi, L. and Ghorbanzadeh, D. Energy Threshold Detection in Neutronic Signal by Automatic Classification and Linear Programming. In World Congress on Engineering 2015, pages 86-89, London, United Kingdom, World Congress on Engineering 2015 , 2015. www 
  1. Jaupi, L.; Ghorbanzadeh, D. and Durand, P. Short run control charts for process variability. In 60th ISI World Statistics Congress (WSC) - ISI2015, July 2015, Rio de Janeiro, Brazil, 2015. www 
  1. Jaupi, L.; Durand, P. and Ghorbanzadeh, D. Statistical Process Control Methods for Individual Observations. In World Congress on Engineering 2015, pages 29-33, London-UK, United Kingdom, Proceedings of the World Congress on Engineering 2015 I, 2015. www 
  1. Jaupi, L.; Durand, P. and Ghorbanzadeh, D. Applications of Influence Function and Robustness in Statistical Process Control. In 8th International Conference on Computational and Methodological Statistics. CMStatistics 2015, London-UK, United Kingdom, 2015. www 
  1. Giordano, G.; Saporta, G. and Vitale, M. P. Exploratory data analysis and contiguity relations: An outlook. In CFE-CMStatistics, London, United Kingdom, 2015. www 
  1. Saporta, G. Conjoint Analysis: past, present and issues. In Choice and preference analysis for quality improvement and seminar on experimentation, Bari, Italy, 2015. www 
  1. GERONIMI, J. and Saporta, G. The Effect of Missing Visits on GEE, a Simulation Study. In Applied Stochastic Models and Data Analysis ASMDA 2015, Le Pirée, Greece, 2015. www 
  1. Niang-Keita, N.; Bougeard, S. and Saporta, G. Clusterwise multiblock PLS regression. In CFE-CMStats, London, United Kingdom, 2015. www 
  1. Niang-Keita, N.; Bougeard, S.; Saporta, G. and Abdi, H. Clusterwise multiblock PLS. In CARME 2015: Correspondence Analysis and Related Methods, Napoli, Italy, 2015. www 
  1. Saporta, G.; Bougeard, S. and Niang-Keita, N. Les méthodes `` clusterwise '' : principes et applications. In XXII èmes rencontres de la Société Francophone de Classification, Nantes, France, 2015. www 
  1. Abdi, H.; Beaton, D. and Saporta, G. Generalizing Partial Least Squares and Correspondence Analysis to Predict Categorical (and Heterogeneous) Data. In 7th conference on Correspondence Analysis and Related Methods CARME 2015, Napoli, Italy, 2015. www 
  1. GERONIMI, J. and Saporta, G. Léffet de visites manquantes sur léstimateur des GEE, une étude par simulation. In 47èmes journées de statistique, Lille, France, 2015. www 
  1. Hocine, M.; Bouziad, K. A. and Saporta, G. A methodological tool for work-related stress management: Importance-Performance Analysis used complementary to PLS path modelling. In Applied Stochastic Models and Data Analysis, Le Pirée, Greece, 2015. www 

2014

Articles de revue

  1. Hassani, H.; Saporta, G. and Silva, E. S. Data Mining and Official Statistics:The Past, the Present and the Future. In Big Data, 2 (1): 1-9, 2014. doi  www 
  1. Ghorbanzadeh, D.; Jaupi, L. and Durand, P. A Method to Simulate the Skew Normal Distribution. In Applied Mathematics, 5 (13): 2073-2076, 2014. doi  www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A simple and robust scoring technique for binary classification. In Journal of Artificial Intelligence Research, 3 (1): 52-58, 2014. doi  www 

Chapitres d'ouvrage

  1. Jaupi, L.; Durand, P. and Ghorbanzadeh, D. Multivariate control charts for short-run complex processes. In IAENG Transactions on Engineering Sciences - Special Issue of the International MultiConference of Engineers and Computer Scientists 2013 and World Congress on Engineering 2013, pages 255-261, Taylor & Francis, 2014. www 

Articles de conférence

  1. Hocine, M.; Russolillo, G. and Saporta, G. A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related Stress. In PLS2014, Paris, France, 2014. www 
  1. Beaton, D.; Bernard, A.; Abdi, H. and Saporta, G. An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic data. In PLS2014, Paris, France, 2014. www 
  1. Durand, P.; Jaupi, L. and Ghorbanzadeh, D. Geometric Correction of Airborne Radar SAR Image on a Digital Terrain Model, and Overlay with Satellite SPOT Data. In World Congress on Engineering 2014, pages 1116-1120, London, United Kingdom, 2014. www 
  1. Saporta, G. and Hassani, H. Data Mining, Machine Learning and Official Statistics. In Conference of European Statistics Stakeholders, November 24-25, 2014, Rome, Italy, 2014. www 
  1. Niang Keita, N. and Saporta, G. Régression typologique pour données multi-blocs. In 46 émes journées de statistique, Rennes, France, 2014. www 
  1. Durand, P.; Jaupi, L.; Ghorbanzadeh, D. and Rudant, J-P. Modeling synthetic radar image from a digital terrain model. In ICGIP 2014. Sixth International Conference on Graphic and Image Processing, Beijing, China, 2014. doi  www 

Rapports

  1. Abiteboul, S.; Bancilhon, F. c.; Bourdoncle, F. c.; Clémenc con, S.; De La Higuera, C.; Saporta, G. and Fogelman Soulié, F. c. L'émergence d'une nouvelle filière de formation : `` data scientists ''. Technical Report, INRIA Saclay ; CEDRIC laboratory, CNAM-Paris, France, 2014.

2013

Articles de revue

  1. Macé, J-M.; Ricco, J-B.; Berger, L. and Saporta, G. Methodology for the evaluation of vascular surgery manpower in France. In Public Health Ethics, 127 (1): 65-71, 2013. doi  www 
  1. Herwindiati, D. E.; Djauhari, M. A. and Jaupi, L. Robust Classification of Remote Sensing Data for Green Space Analysis. In Journal of Mathematics and System Science, 3 (4): 180-186, 2013. www 

Livres

  1. Lechevallier, Y.; Saporta, G.; Wang, H. and Guan, R. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis. Hermann, 2013. www 
  1. Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Modèles `a variables latentes et modèles de mélange. Editions Technip, 2013. www 

Articles de conférence

  1. Saporta, G. A survey of some sparse methods for high-dimensional data. In SADA'13, Cotonou, Benin, 2013. www 
  1. Jaupi, L.; Herwindiati, D. E.; Durand, P. and Ghorbanzadeh, D. Short Run Multivariate Control Charts for Process Mean and Variability. In World Congress on Engineering 2013, pages 670-674, London, United Kingdom, 2013. www 
  1. Jaupi, L.; Durand, P.; Ghorbanzadeh, D. and Herwindiati, D. E. Multi-Criteria Variable Selection for Process Monitoring. In 59th World Statistical Congress, pages 3550-3555, Hong Kong, Hong Kong SAR China, 2013. www 
  1. Herwindiati, D. E.; Jaupi, L. and Mulyono, S. Robust Reduction Dimension for Mapping of Rice Field. In World Congress on Engineering 2013, pages 1531-1536, London, United Kingdom, 2013. www 
  1. Bernard, A. and Saporta, G. Analyse en composantes principales sparse pour données multiblocs et extension `a l'analyse des correspondances multiples sparse. In 45 émes Journées de statistique, Toulouse, France, 2013. www 
  1. Guizani, A.; Souissi, B.; Benammou, S. and Saporta, G. Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit. In 45 émes Journées de statistique, pages pp, Toulouse, France, 2013. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A Robust Strategy for Combining Several Classifiers for Small Samples and Heterogeneous Predictors. In Chimiometrie 2013, pages 33-34, Brest, France, 2013. www 
  1. Durand, P.; Jaupi, L.; Ghorbanzadeh, D. and Rudant, J-P. Geometric correction of airborne radar image data, and overlay with map data and satellite. In SPIE Remote Sensing, pages 8892-57, Dresden, Germany, 2013. www 

Rapports

  1. Allignol, A.; Beyersmann, J.; Gerds, T. and Latouche, A. A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model. Technical Report, , 2013.

2012

Chapitres d'ouvrage

  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Bayesian analysis of structural equation models using parameter expansion. In Statistical learning and data science, pages 135-145, Chapman Hall/CRC, 2012. www 

Articles de conférence

  1. Saporta, G.; Bernard, A. and Guinot, C. A generalisation of sparse PCA to multiple correspondence analysis. In ERCIM 2012, Oviedo, Spain, 2012. www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Kernel discrimination and explicative features: an operative approach. In Compstat 2012, pages 507-518, Limassol, Cyprus, 2012. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Ibanez, F.; Collin, J-F. c. and Saporta, G. Stacking prediction for a binary outcome. In Compstat 2012, pages 271-282, Limassol, Cyprus, 2012. www 
  1. Bernard, A.; Guinot, C. and Saporta, G. Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis. In Compstat 2012, pages 99-106, Limassol, Cyprus, 2012. www 
  1. Nardi, L.; Badran, F.; Fortin, P. and Thiria, S. YAO: a generator of parallel code for variational data assimilation applications. In 14th IEEE International Conference on High Performance Computing and Communications (HPCC-2012), pages 224-232, Liverpool, United Kingdom, 2012. doi  www 
  1. Saporta, G. Mining Official Data: What's New?. In 2012 SIAM International Conference on Data Mining, Anaheim, United States, 2012. www 
  1. Herwindiati, D. E.; Djauhari, M. A. and Jaupi, L. Robust Statistics for Classification of Remote Sensing Data. In 20th International Conference on Computational Statistics. COMPSTAT 2012, pages 317-328, Limassol, Cyprus, 2012. www 
  1. Durand, P.; Jaupi, L. and Ghorbanzadeh, D. Automatic segmentation of textures on a database of remote-sensing images and classification by neural network. In SPIE 2012, Image and Signal Processing for Remote Sensing XVIII, pages 1-10, SPIE, Edingburg, United Kingdom, 2012. doi  www 
  1. Jaupi, L.; Ghorbanzadeh, D.; Durand, P. and Herwindiati, D. E. Variable selection in the context of multivariate process monitoring. In 20th International Conference on Computational Statistics. COMPSTAT 2012, pages 22, Limassol, Cyprus, 2012. www 
  1. Niang Keita, N.; Saporta, G. and Fogliatto, F. Contr^ole non paramétrique de procédés par lots basé sur STATIS et la classification. In Agrostat2012, 12èmes journées Européennes Agro-Industrie et Méthodes Statistiques, pages 163-169, Paris, France, 2012. www 
  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Guinot, C. and Saporta, G. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané. In JdS'12, Bruxelles, Belgium, 2012. www 

Divers

  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Saporta, G. and Guinot, C. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. , Poster. www 

2011

Articles de revue

  1. Wang, H.; Chen, M. and Saporta, G. Variable selection in discriminant analysis based on Gram-Schmidt process. In Journal of Beijing University of Aeronautics and Astronautics, 37 (8): 958-961, 2011. www 

Livres

  1. Droesbeke, J-J. and Saporta, G. Approches non-paramétriques en régression. Editions Technip, 2011. www 

Articles de conférence

  1. Séguéla, J. and Saporta, G. A semi-supervised recommender system to predict online job offer performance. In Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Beijing, China, 2011. www 
  1. Guizani, A.; Benammou, S. and Saporta, G. UNE M'ETHODE DE TRAITEMENT DES REFUS'ES DANS LE PROCESSUS D'OCTROI DE CR'EDIT. In 43 émes Journées de Statistique, pages xx, Tunis, Tunisia, 2011. www 
  1. Séguéla, J. and Saporta, G. A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROI. In CIKM'11, 20th ACM Conference on Information and Knowledge Management, pages 2265-2268, Glasgow, United Kingdom, 2011. www 
  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Approche bayesienne des modèles `a équations structurelles utilisant léxpansion paramétrique. In 43 émes Journées de Statistique, Tunis, Tunisia, 2011. www 

2010

Articles de revue

  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. The NIPALS Algorithm for Missing Functional Data. In Revue roumaine de mathématiques pures et appliquées, 55 (4): 315-326, 2010. www 
  1. Aguilera, Ana-M.; Escabias, M.; Preda, C. and Saporta, G. Using basis expansions for estimating functional PLS regression: Applications with chemometric data. In Chemometrics and Intelligent Laboratory Systems, 104 (2): 289-305, 2010. doi  www 
  1. Youness, G. and Saporta, G. Comparing partitions of two sets of units based on the same variables. In Advances in Data Analysis and Classification, 4 (1): 53-64, 2010. doi  www 

Livres

  1. Droesbeke, J-J. and Saporta, G. Analyse statistique des données longitudinales. Editions Technip, 2010. www 

Chapitres d'ouvrage

  1. Stan, V. and Saporta, G. Conjoint Use of Variables Clustering and PLS Structural Equations Modeling. In Handbook of Partial Least Squares,, pages 235-246, Springer Berlin Heidelberg, 2010. doi  www 

Articles de conférence

  1. Benammou, S.; Souissi, B. and Saporta, G. On the use of Weighted Regression in Conjoint Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 777-784, X, France, 2010. www 
  1. Séguéla, J.; Saporta, G. and Le Viet, S. e-Recruitment: Detection of Relevant Keywords in the Job Offer Title. In JADT'2010, 10th International Conference on Statistical Analysis of Textual Data, Rome, pages xx, Rome, Italy, 2010. www 
  1. Saporta, G. Classification supervisée et données fonctionnelles. In SFC'2010, 17èmes rencontres de la Société Francophone de Classification, Saint Denis de la Réunion, France, 2010. www 
  1. Jaupi, L. Selection of Variables That Are Relevant to Multivariate Process Monitoring Goals. In ISBIS 2010, Portoroz, Slovenia, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. WCUM pour l'analyse d'un site web. In 10e conférence internationale sur l'Extraction et la Gestion des Connaissances EGC'2010, pages 45-52, Hammamet, Tunisia, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. On the Number of Clusters in Block Clustering Algorithms. In 23rd International FLAIRS Conference, pages 392-397, Florida, United States, Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS 2010) , 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre de classes dans les méthodes de bipartitionnement. In 17émes Rencontres de la Société Francophone de Classification, pages 119-122, Saint-Denis de la Réunion, France, 2010. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Contributions to Bayesian Structural Equation Modeling. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 469-476, Paris, France, 2010. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. Anticipated and Adaptive Prediction in Functional Discriminant Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 189-198, X, France, 2010. www 

2009

Articles de revue

  1. Wang, H.; Ye, M. and Saporta, G. Classification for Multiple Linear Regression Methods. In Xitong Fangzhen Xuebao/Acta Simulata Systematica Sinica, 21: 7048-7056, 2009. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang Keita, N. Principal Component Analysis: application to Statistical Process Control. In Data Analysis, pages 1-23, 2009. doi  www 

Articles de conférence

  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Batch Process Monitoring by Three-way Data Analysis Approach. In ASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, pages 294-298, Vilnius, Lithuania, 2009. www 
  1. Wang, S.; Wang, J.; Wang, H. and Saporta, G. An Approach for PLS Regression Modeling of Functional Data. In 6th International Conference on Partial Least Squares and Related Methods (PLS'09), pages 28-33, Electronic Industry Press, Pékin, China, Proceedings of the 6th International Conference on Partial Least Squares and Related Methods (PLS'09) , 2009. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, B. PLS Regression with Functional Predictor and Missing Data. In PLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, pages 17-22, Pékin, China, 2009. www 
  1. Charrad, M.; Ben Ahmed, M.; Lechevallier, Y. and Saporta, G. Determining the number of clusters in CROKI2 algorithm. In MSDM'09 - Meeting on Statistics and Data Mining, pages 143-148, Hammamet, Tunisia, 2009. www 
  1. Jaupi, L. Identification of Product and Process Variables that May Be Critical for Process Monitoring and Product Quality. In 57th Session of International Statistical Institute, Durban, South Africa, 2009. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. Block clustering for web pages categorization. In IDEAL 2009: Intelligent Data Engineering and Automated Learning, pages 260-267, Springer, Burgos, Spain, Lecture Notes in Computer Science 5788, 2009. doi  www 

Divers

  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre des classes dans l'algorithme CROKI2 de classification croisée. , Poster. www 

2008

Articles de revue

  1. Vichi, M. and Saporta, G. Clustering and Disjoint Principal Component Analysis. In Computational Statistics and Data Analysis, 53 (8): 3194-3208, 2008. doi  www 
  1. Wang, H.; Chen, M. and Saporta, G. Gram-Schmidt regression and application in cutting tool abrasion prediction. In Journal of Beijing University of Aeronautics and Astronautics, 34 (6): 729-733, 2008. www 
  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Web Content Data Mining : la classification croisée pour l'analyse textuelle d'un site Web. In Revue des Nouvelles Technologies de l'Information, RNTI-E11: 43-54, 2008. www 
  1. Zaugg, S.; Saporta, G.; van Loon, E.; Schmaljohann, H. and Liechti, F. Automatic identification of bird targets with radar via patterns produced by wing flapping. In Journal of the Royal Society Interface, 5 (26): 1041-1053, 2008. doi  www 

Articles de conférence

  1. Saporta, G. and Preda, C. Adaptive Forecasting on Functional Data. In SIS'08 , Univ.Calabria, pages xx, Arcavata di Rende, Italy, 2008. www 
  1. Saporta, G. Models for Understanding versus Models for Prediction. In Compstat 2008, pages 315-322, Physica-Verlag HD, Porto, Portugal, 2008. doi  www 
  1. Jaupi, L. Multivariate SPC Methods to Monitor Complex Product-Process Paramaters. In Congres SFDS-SSC, Ottawa, Canada, 2008. www 
  1. Jaupi, L. Applications of Robust Statistics in Statistical Process Control. In COMPSTAT'08, Porto, Portugal, 2008. www 
  1. Bacelar-Nicolau, H.; Saporta, G. and Lorga da Silva, A. Multiple Imputation and Multidimensional Scaling Applied to a k-means Method. In COMPSTAT'08, Porto, Portugal, pages xx, Porto, Portugal, 2008. www 
  1. Ohannessian, S. and Saporta, G. Zero option in conjoint analysis, A new specification of the indecision and the refusal. In SIS'08, Univ. Calabria, pages xx, Cosenza, Italy, 2008. www 

Divers

2007

Articles de revue

  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. In Computational Statistics and Data Analysis, 52 (1): 596-613, 2007. doi  www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In Computational Statistics, 22: 223-235, 2007. doi  www 
  1. Tenenhaus, A.; Giron, A.; Viennet, E.; Béra, M.; Saporta, G. and Fertil, B. Kernel logistic PLS: a tool for supervised nonlinear dimensionality reduction and binary classification. In Computational Statistics and Data Analysis, 51 (9): 4083-4100, 2007. doi  www 

Chapitres d'ouvrage

  1. Preda, C. and Saporta, G. PCR and PLS for Clusterwise Regression on Functional Data. In Selected Contributions in Data Analysis and Classification, pages 589-598, 2007. www 

Articles de conférence

  1. Jaupi, L. Cartes de contr^ole `a valeurs individuelles basées sur les fonctions d'influence. In SFDS'07, pages CD, Anger, France, 2007. www 
  1. Jaupi, L. SPC Methods to Monitor Complex Processes with Individual Observations. In Int. Statistical Institute, Lisbon, Portugal, 2007. www 
  1. Jakobowicz, E. and Saporta, G. A nonlinear PLS path modeling based on monotonic B-spline transformations. In 5th International symposium on PLS and related methods (PLS'07), pages 112-115, Matforsk, Norway, Proceedings of the 5th International symposium on PLS and related methods (PLS'07) , 2007. www 
  1. Niang Keita, N. and Saporta, G. Resampling ROC curves. In IASC'07 International Association for Statistical Computing,, pages xx, Aveiro, Portugal, 2007. www 
  1. Saporta, G. Model Selection and Predictive Inference. In Trends and Challenges in Applied Mathematics, pages 92-96, Bucarest, Romania, 2007. www 
  1. Giordano, G. and Saporta, G. The Response Surface as Explorative Tool in Multiple Correspondence Analysis. In CARME'07, Correspondence Analysis and Related Methods, Rotterdam, Netherlands, 2007. www 
  1. Wang, J.; Wang, H. and Saporta, G. Discussion on Importance of Variable Selection in PLS1 Modeling. In PLS'07 5th Int. Symp. on PLS and related methods, Oslo, Oslo, Norway, 2007. www 
  1. Saporta, G. Lénseignement `a distance en statistique: technologie et pédagogie. In 39 èmes Journées de Statistique, pages xx, Angers, France, 2007. www 
  1. Saporta, G. Discriminant analysis on functional data. In XV Congresso Annual da Sociedade Portuguesa de Estadistica, pages xx, Lisbonne, Portugal, 2007. www 

2006

Livres

  1. Droesbeke, J-J.; Lejeune, M. and Saporta, G. Analyse statistique des données spatiales. Editions Technip, 2006. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang Keita, N. Correspondence analysis and classification. In Multiple Correspondence Analysis and Related Methods, pages 371-392, Chapman and Hall/CRC, 2006. www 
  1. Saporta, G. Epidémiologie et Data Mining ou fouille de données. In L'épidémiologie humaine,, pages 129-136, EDP-Sciences, 2006. www 

Articles de conférence

  1. Costanzo, D.; Preda, C. and Saporta, G. Anticipated prediction in discriminant analysis on functional data for binary response. In COMPSTAT'06, 17th Symposium on Computational Statistics, pages 821-828, Rome, Italy, 2006. www 
  1. Saporta, G. Credit scoring, statistique et apprentissage. In EGC'06, Lille, France, Extraction et Gestion des Connaissances 2006 RNTI E6, 2006. www 
  1. Stan, V. and Saporta, G. Une comparaison expérimentale entre les approches PLS et LISREL. In 38 èmes Journées de Statistique, Clamart, France, 2006. www 
  1. Saporta, G. and Niang, N. Model assessment. In KNEMO'06 Knowledge Extraction and Modeling, Capri, Italy, 2006. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Leblond, L. Une comparaison de certains indices de pertinence des règles d'association. In EGC 06 Extraction et Gestion des Connaissances, pages 561-568, Lille, France, Actes des sixièmes journées Extraction et Gestion des Connaissances, RNTI 06, 2006. www 
  1. Plasse, M.; Niang Keita, N. and Saporta, G. Classification préalable `a la recherche de règles d'association. In RIAS'06 Rencontres Inter-Associations sur le thème de la classification, pages 1, Lyon, France, 2006. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Méthodes de classification pour léxtraction de règles. In SFC'06 Rencontres de la Société Francophone de Classification, pages 4, Metz, France, 2006. www 
  1. Saporta, G. Statistical Methods and Credit Scoring. In JOCLAD'06, Lisbonne, Portugal, 2006. www 

2005

Articles de revue

  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 49: 99-108, 2005. doi  www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 48: 149-158, 2005. doi  www 

Livres

  1. Droesbeke, J-J.; Lejeune, M. and Saporta, G. Modèles statistiques pour données qualitatives. Editions Technip, 2005. www 

Chapitres d'ouvrage

  1. Saporta, G. Les classes latentes. In Modèles statistiques pour données qualitatives, pages 71-82, Editions Technip, 2005. www 

Articles de conférence

  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Gauthier, D. Combined use of association rules mining and clustering methods. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Cyprus, 2005. www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelone, Spain, 2005. www 
  1. Jaupi, L. Short Run Multivariate SPC Techniques Based on the Influence Functions. In Int. Statistical Institute, Sydney, Australia, 2005. www 
  1. Plasse, M.; Niang Keita, N. and Saporta, G. Utilisation conjointe des règles d'association et de la classification de variables. In 37 èmes Journées de Statistique, Pau, France, 2005. www 
  1. Stan, V. and Saporta, G. Une étude comparative de logiciels de prévision automatique de séries chronologiques. In 37 èmes Journées de Statistique, Pau, France, 2005. www 
  1. Saporta, G. Some Statistical Aspects of Credit Scoring. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Cyprus, 2005. www 
  1. Preda, C. and Saporta, G. PLS discriminant analysis for functional data. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, pages 653-661, Brest, France, 2005. www 
  1. Jaupi, L. Multivariate Methods to Monitor Short Run Complex Processes. In Int. Symposium on Business and Industrial Statistics, ISBIS, Palm Cove, Cairns, Australia, 2005. www 
  1. Stan, V. and Saporta, G. Conjoint use of variables clustering and PLS structural equations modelling. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, 2005. www 
  1. Stan, V. and Saporta, G. Customer satisfaction and PLS structural equation modeling. An application to automobile market. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis., pages 756-763, Brest, France, 2005. www 
  1. Riviére, P.; Saporta, G.; Pagès, J. and Monrozier, R. Kano's satisfaction model applied to External Preference Mapping : a new way to handle non linear relationships between hedonic evaluations and product characteristics. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, 2005. www 

2004

Articles de revue

  1. Youness, G. and Saporta, G. Some Measures of Agreement Between Close Partitions. In Student, 5: 1-12, 2004. www 

Chapitres d'ouvrage

  1. Preda, C. and Saporta, G. PLS Approach for clusterwise linear regression on functional data. In Classification, Clustering, and Data Mining Applications, pages 167-176, Springer, Classification, Clustering and Data Mining Applications , 2004. doi  www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Missing Data and Imputation Methods in Partition of Variables. In Classification, Clustering, and Data Mining Applications, pages 631-637, Springer Berlin Heidelberg, Studies in Classification, Data Analysis, , 2004. doi  www 

Articles de conférence

  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Coefficiente de affinidade em classificac c~ao com dados omissos. Uma Aplicac c~ao a Dados Reais. In JOCLAD 2004. XI Jornadas de Classificac c~ao e An'alise de Dados, Lisbonne, Portugal, 2004. www 
  1. Saporta, G. and Bourdeau, M. The St@tNet Project for Teaching Statistics. In COMPSTAT 2004, pages 417-428, Physica Verlag -Springer, Prague, Czech Republic, COMPSTAT 2004 - Proceedings in Computational Statistics , 2004. doi  www 

2003

Articles de revue

  1. Benammou, S.; Harbi, S. and Saporta, G. Sur l'utilisation de l'analyse conjointe en cas de réponses incomplètes ou de non-réponses. In Revue de Statistique Appliquée, 51 (4): 31-55, 2003. www 
  1. Karlis, D.; Saporta, G. and Spinakis, A. A Simple Rule for the Selection of Principal Components. In Communications in Statistics - Theory and Methods, 32 (3): 643-666, 2003. doi  www 
  1. Abdallah, H. and Saporta, G. Mesures de distance entre modalités de variables qualitatives; application `a la classification. In Revue de Statistique Appliquée, 51 (2): 75-90, 2003. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang, N. Analyse en composantes principales. In Analyse des données, pages 19-42, Hermes, 2003. www 

Articles de conférence

  1. Jaupi, L. Applications of Robust Statistics in Statistical Process Control. In International Congress on Robust Statistics : ICORS 2003, Antwerpen, Belgium, 2003. www 
  1. Jaupi, L. Cartes de contr^ole specifiques basées sur les fonctions d'influences. In XXXVème Journée de Statistique, Lyon, France, 2003. www 
  1. Jaupi, L. A Simple Approach to Design Multivariate Control Charts for Short Runs. In 54ème Session de l'Institut International de Statistique, ISI2003, Berlin, Germany, 2003. www 
  1. Jaupi, L. Multivariate SPC Methods to Monitor Complex Processes. In 6th International Conference on Quality Management and Organizational Development: QMOD 2003, Paris, France, 2003. www 
  1. Saporta, G. Correspondence Analysis and Discrimination. In CARME2003: Correspondence Analysis and Related Methods, Barcelone, Spain, 2003. www 
  1. Saporta, G. A control chart approach to select eigenvalues in principal component and correspondence analysis. In 54th Session of the International Statistical Institute, Berlin, Germany, 2003. www 
  1. Youness, G. and Saporta, G. Sur des indices de comparaison de deux classifications. In SFC'03 10 èmes rencontres de la Société Francophone de Classification, pages 177-180, Neuchatel, Switzerland, 2003. www 
  1. Saporta, G. and Bourdeau, M. St@tNet: an assessment and new developments. In IASE Satellite Conference on Statistics Education and the Internet, Berlin, Germany, 2003. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Classification hiérarchique ascendante avec imputation multiple de données manquantes *. In SFC' 03 10èmes rencontres de la Société Francophone de Classification, pages 59-62, Neuchatel, Switzerland, Actes des 10èmes rencontres de la Société Francophone de Classification , 2003. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Etude de léffet d'imputation de données manquantes sur des structures de classification hiérarchique de variables. In JOCLAD 2003: X Jornadas de Classificac c~ao e An'alise de Dados, Aveiro, Portugal, 2003. www 
  1. Benammou, S. and Saporta, G. On the connection between the distribution of eigenvalues in multiple correspondence analysis and log-linear analysis. In CARME2003: Correspondence Analysis and Related Methods, Barcelone, Spain, 2003. www 

2002

Articles de revue

  1. Preda, C. and Saporta, G. Régression PLS sur un processus stochastique. In Revue de Statistique Appliquée, 50 (2): 27-45, 2002. www 
  1. Saporta, G. Data fusion and data grafting. In Computational Statistics and Data Analysis, 38 (4): 465-473, 2002. doi  www 

Livres

  1. Lauro, C.; Antoch, J.; Esposito Vinzi, V. V. and Saporta, G. Multivariate Total Quality Control. Physica Verlag - Springer, 2002. www 
  1. Droesbeke, J-J.; Fine, J. and Saporta, G. Méthodes bayesiennes en statistique. Editions Technip, 2002. www 
  1. Jaupi, L. Contr^ole de la qualité : MSP, analyse des performances et contr^ole de réception. , 2002. www 

Articles de conférence

  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Dados omissos em Classificac c~ao hier'arquica de vari'aveis e o algoritmo NIPALS. In JOCLAD 2002, Lisbonne, Portugal, 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers de données appliquée au marché résidentiel de l'électricité. In 3ème Colloque Francophone sur les Sondages, Autrans, France, 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers appliquée au marché résidentiel de l'électricité. In 34 èmes Journées de Statistique, Bruxelles, Belgium, 2002. www 
  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In COMPSTAT 2002, Berlin, Germany, 2002. www 
  1. Jaupi, L. Cartes de contr^ole multidimensionnel pour la maitrise de processus de fabrication complexes. In XXVèmes Journées de Statistique, Bruxelles, Belgium, 2002. www 
  1. Saporta, G. St@tNet, An Internet Based Software For Teaching Introductory Statistics,. In ICOTS 6 International Conference On Teaching Statistics, Cape Town, South Africa, Proceedings ICOTS 6 , 2002. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Missing Data in Hierarchical Classification of Variables, a simulation study. In IFCS 2002, pages 121-128, Springer, Krakow, Poland, Classification, Clustering, and Data Analysis , 2002. www 
  1. Saporta, G. and Youness, G. Comparing two partitions: Some Proposals and Experiments. In COMPSTAT 2002, pages 243-248, Physica-Verlag Springer, Berlin, Germany, COMPSTAT Proceedings in Computational Statistics , 2002. www 

2001

Chapitres d'ouvrage

  1. Jaupi, L. Multivariate Control Charts for Complex Processes. In MULTIVARIATE CONTROL CHARTS FOR COMPLEX PROCESSES, pages 125-136, Physica-Verlag, Multivariate Total Quality Control , 2001. doi  www 

Articles de conférence

  1. Karlis, D.; Saporta, G.; Jaupi, L.; Gonzalez, P-L.; Samiotakis, I. and Spinakis, A. On a statistical package for non-expert users. In ETK-NTTS 2001, Crete, Greece, 2001. www 
  1. Jaupi, L. Multivariate Methods to Monitor Complex Processes. In 2nd Int. Symp. on Industrial Statistics, Ykohama, Japan, 2001. www 
  1. Saporta, G. and Youness, G. Concordance entre deux Partitions : quelques propositions et expériences. In SFC 2001: 8èmes rencontres de la Société Francophone de Classification, Pointe `a Pitre, France, 2001. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. A new Method to Match Data Sets Applied to Electric Market. In NTTS-ETK : New Techniques and Technologies for Statistics, Exchange of Technology and Know-how, pages 725-733, Hersonissos, Greece, 2001. www 
  1. Jaupi, L. Multivariate Methods to Monitor Product-Process Parameters. In 53ème Session de l'Institut International de Statistique, Seoul, South Korea, 2001. www 
  1. Preda, C. and Saporta, G. Régression PLS sur un processus stochastique. In 33 èmes Journées de Statistique, Nantes, France, 2001. www 
  1. Spinakis, A.; Saporta, G.; Kouvatseas, G. and Tsourti, Z. Specifications of a Site for Distance Learning in Official Statistics. In NTTS & ETK 2001 New Trends and Technologies for Statistics, pages 933-936, Hersonissos, Greece, Proceedings NTTS & ETK 2001 , 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In ASMDA'01: 10 th International Symposium on Applied Stochastic Models and Data Analysis, Compiegne, France, 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In PLS'01, Capri, Italy, 2001. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H.; Saporta, G. and Geada, M. Missing Data in Hierarchical Classification, a study with personality development data. In EMPG 2001 32nd European Mathematical Psychology Group Meeting, Lisbonne, Portugal, 2001. www 

Divers

  1. Saporta, G. Data mining et statistique. , Discussion et commentaire. www 

2000

Articles de conférence

  1. Saporta, G. Data Fusion and Data grafting. In NMDM 2000: International meeting on Nonlinear Methods and Data Mining,, Rome, Italy, 2000. www 
  1. Saporta, G. Data Mining and Official Statistics. In Quinta Conferenza Nationale di Statistica, pages 41-46, Rome, Italy, 2000. www 
  1. Jaupi, L. Méthodes multivariées pour le pilotage et la maitrise de processus et de produits complexes. In XXXIIèmes Journées de Statistique, Fes, Morocco, 2000. www 
  1. Saporta, G. and Fischer, N. Fusion et greffes de données. In 5èmes Journées Modulad. Data Mining des Données Clientèle, pages 43-66, Clamart, France, Revue Modulad , 2000. www 
  1. Saporta, G. Teaching Statistics with Internet: Available Resources and the St@tNet Project. In EADTU 2000: European Association of Distance Teaching Universities Millenium conference, Paris, France, 2000. www 

1999

Articles de revue

  1. Bouroche, J-M. and Saporta, G. L'analyse des données. In Dossier Pour la Science, Les mathématiques sociales (24), 1999. www 

Chapitres d'ouvrage

  1. Saporta, G. and Co, V. Fusion de fichiers : une nouvelle méthode basée sur l'analyse homogène. In Enquêtes et sondages, pages 81-93, Dunod, 1999. www 

Articles de conférence

  1. Saporta, G. Teaching Statistics with Internet: a Survey of Available Resources and the St@tNet Project. In ISI99, Helsinki, Finland, 1999. www 
  1. Saporta, G. Some simple rules for interpreting outputs of principal components and correspondence analysis. In ASMDA 99: IX International Symposium on Applied Stochastic Models and Data Analysis, Lisbonne, Portugal, 1999. www 

Divers

1998

Articles de revue

  1. Abdallah, H. and Saporta, G. Classification d'un ensemble de variables qualitatives. In Revue de Statistique Appliquée, 46 (4): 5-26, 1998. www 
  1. Benammou, S. and Saporta, G. Sur la normalité asymptotique des valeurs propres en ACM sous l'hypothèse d'indépendance des variables. In Revue de Statistique Appliquée, 46 (3): 21-35, 1998. www 

Articles de conférence

  1. Saporta, G. The unexploited mines of academic and official statistics. In AOSC : Academic and official statistics cooperation, pages 11-15, Bucarest, Romania, R& D in statistics: Academic and official statistics cooperation , 1998. www 

1997

Livres

  1. Droesbeke, J-J.; Fine, J. and Saporta, G. Plans déxpériences. Editions Technip, 1997. www 

Articles de conférence

  1. Saporta, G. Problèmes posés par la comparaison de classification dans des enquêtes différentes,. In 51ème session de l'Institut International de Statistique, Istanbul, Turkey, 1997. www 
  1. Saporta, G. and Camillo, F. Classificazione, analisi dei dati e modelli di conjoint analysis come strumenti integrati per le ricerche di mercato,. In La Statistica per le imprese, pages 15-32, Torino, Italy, Atti del convegno 1, 1997. www 

1996

Articles de conférence

  1. Saporta, G. L'analyse harmonique qualitative, une synthèse de la théorie. In Recolecci'on y an'alisis de datos longitudinales, pages 111-120, Bogota, Colombia, Memorias del seminario de capacitaci'on e investigaci'on ''Recolecci'on y an'alisis de datos longitudinales'' , 1996. www 

1995

Articles de revue

  1. Niang, N. and Saporta, G. Période opérationnelle moyenne de la carte de moyennes mobiles équipondérées pour le contr^ole du centrage d'un procédé. In Revue de Statistique Appliquée, 43 (3): 5-20, 1995. www 

1994

Articles de revue

  1. Mahjoub, S. and Saporta, G. Une méthode de Discrimination non paramétrique. In Revue de Statistique Appliquée, 42 (2): 99-113, 1994. www 

1993

Articles de conférence

  1. Saporta, G. and Tambrea, N. About the selection of the number of components in correspondence analysis. In ASMDA 1993: 6th International Symposium on Applied Stochastic Models and Data Analysis, pages 846-856, World Scientific, Chania, Greece, Applied Stochastic Models and Data Analysis , 1993. www 

1990

Articles de conférence

  1. Saporta, G. Simultaneous Analysis of Qualitative and Quantitative Data. In XXXV RIUNIONE SCIENTIFICA Societa Italiana di Statistica, pages 62-72, CEDAM - CASA EDITRICE, MILANO, Padova, Italy, ATTI DELLA XXXV RIUNIONE SCIENTIFICA 1, 1990. www 

1988

Articles de conférence

  1. Bouroche, J-M. and Saporta, G. Les méthodes et les applications du credit-scoring. In 34textdegree Riunione Scientifica della Sociéta Italiana di Statistica, pages 19-26, Siena, Italy, Atti 34textdegree Riunione Scientifica della Sociéta Italiana di Statistica , 1988. www 

1987

Articles de conférence

  1. Saporta, G. About maximal association criteria in linear analysis and in cluster analysis. In Conference of the Internat. Federation of Classification Societies (IFCS),, pages 541-550, North-Holland, Aachen, Germany, Classification and related methods of data analysis , 1987. www 

1986

Articles de conférence

  1. Saporta, G. and Hatabian, G. Régions de confiance en analyse factorielle. In Fourth International Symposium on Data Analysis and Informatics, pages 499-508, Elsevier Science Publishers, Versailles, France, Data Analysis and Informatics IV, 1986. www 

1985

Articles de revue

  1. Saporta, G. Data analysis for numerical and categorical individual time-series. In Applied Stochastic Models and Data Analysis, 1 (2): 109-119, 1985. doi  www 

Chapitres d'ouvrage

  1. Saporta, G. Multidimensional data analysis for categorical variables. In Measuring the Unmeasurable, pages 317-337, Springer, 1985. www 

Articles de conférence

  1. Saporta, G. Correspondence analysis for categorical stochastic processes. In Advances in Multivariate Analysis, pages 365-376, Calcutta, India, Procedings of the International Conference on Advances in Multivariate Analysis , 1985. www 

1983

Articles de revue

  1. Deville, J-C. and Saporta, G. Correspondence analysis, with an extension towards nominal time series. In Journal of Econometrics, 22 (1-2): 169-189, 1983. doi  www 

Chapitres d'ouvrage

  1. Saporta, G. Multidimensional data analysis and quantification of categorical variables. In New Trends in Data Analysis, pages 73-97, North-Holland, 1983. www 

1980

Livres

  1. Bouroche, J-M. and Saporta, G. L'analyse des données. PUF, Que Sais-je , 1980. www 

1979

Articles de conférence

  1. Deville, J-C. and Saporta, G. L'analyse harmonique qualitative. In Analyse des données et Informatique, pages 375-389, North-Holland, Versailles, France, Data Analysis and Informatics , 1979. www 

1977

Articles de conférence

  1. Saporta, G. Une méthode et un programme d'analyse discriminante sur variables qualitatives. In Analyse des données et informatique, pages 201-210, Versailles, France, Analyse des données et informatique 1, 1977. www 
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