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[Sap02] Data fusion and data grafting
Revue Internationale avec comité de lecture : Journal Computational Statistics & Data Analysis, vol. 38(4), pp. 465-473, 2002, (doi:10.1016/S0167-9473(01)00072-X)Mots clés: Data fusion; Missing values; Homogeneity analysis; Imputation
Résumé:
Data fusion is concerned with the problem of merging data bases coming from different sources into a single data base when variables are absent or missing in some files.
After a survey of the main techniques we present some new approaches, in particular one based on homogeneity analysis and future directions.
We insist on validation problems and caveats.
BibTeX
| @article { | |||
| Sap02, | |||
| title | = | "{Data fusion and data grafting}", | |
| author | = | "G. Saporta", | |
| journal | = | "Computational Statistics & Data Analysis", | |
| year | = | 2002, | |
| volume | = | 38, | |
| number | = | 4, | |
| pages | = | "465-473", | |
| doi | = | "10.1016/S0167-9473(01)00072-X", | |
| } | |||
