Multiple Sets of Rules for Text Categorization

Abstract

This paper concerns how multiple sets of rules can be generated using a rough sets-based inductive learning method and how they can be combined for text categorization by using Dempster’s rule of combination. We first propose a boosting-like technique for generating multiple sets of rules based on rough set theory, and then model outcomes inferred from… (More)
DOI: 10.1007/978-3-540-30198-1_27

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