Data Fusion and Data grafting - Archive ouverte HAL
Communication Dans Un Congrès Année : 2000

Data Fusion and Data grafting

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.
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Dates et versions

hal-01124589 , version 1 (12-03-2020)

Identifiants

  • HAL Id : hal-01124589 , version 1

Citer

Gilbert Saporta. Data Fusion and Data grafting. NMDM 2000: International meeting on Nonlinear Methods and Data Mining,, Sep 2000, Rome, Italy. ⟨hal-01124589⟩

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