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Robust Tree-Based Incremental Imputation Method for Data Fusion

Robust Tree-Based Incremental Imputation Method for Data Fusion

This video was recorded at 7th International Symposium on Intelligent Data Analysis, Ljubljana 2007. Data Fusion and Data Grafting are concerned with combining files and information coming from different sources. The problem is not to extract data from a single database, but to merge information collected from different sample surveys. The typical data fusion situation formed of two data samples, the former made up of a complete data matrix X relative to a first survey, and the latter Y which contains a certain number of missing variables. The aim is to complete the matrix Y beginning from the knowledge acquired from the X. Thus, the goal is the definition of the correlation structure which joins the two data matrices to be merged. In this paper, we provide an innovative methodology for... Show More
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