Knowledge Discovery in Complex Objects

Abstract

Learning concepts and rules from structured (complex) objects is a quite challenging but very relevant problem in the area of machine learning and knowledge discovery. In order to take into account and exploit the semantic relationships that hold between atomic components of structured objects, we propose a knowledge discovery process, which starts from a… (More)
DOI: 10.1111/0824-7935.00080

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