Data fusion and data grafting

Authors:
Gilbert Saporta
Affiliations:
CNAM, 292 rue Saint Martin, F75141 Paris Cedex 03, France
Venue:
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Year:
2002

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Abstract

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.