Nonredundant Generalized Rules and Their Impact in Classification
作者： François Rioult , Bruno Zanuttini , Bruno Crémilleux
DOI: 10.1007/978-3-642-05183-8_1
关键词:
摘要: Association rules are commonly used in classification based on associations. These made of conjunctions attributes the premise and a class attribute conclusion. In this chapter, we interested understanding impact generalized association processes. For that purpose, investigate use rules, i.e., which conclusion is disjunction attributes. We propose method directly mines nonredundant possibly with exceptions, by using recent developments condensed representations pattern mining hypergraph transversals computing. Then study such instead classical ones for purposes. To aim, view as negations concluding negative attribute. feed standard CMAR these compare results ones.
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