Learning classification rules based on concept semilattice

Concept lattice is an efficient formal tool for data analysis and knowledge extraction. In this paper, we present an incremental construction algorithm of join-semilattice with a simple example and a novel induction algorithm, rulextracter, which induces classification rules using a semilattice as a...

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Bibliographische Detailangaben

Hauptverfasser:	Chengming Qi, Shoumei Cui, Yunchuan Sun
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Communication system control Concept semilattice Data analysis Data mining Electronic mail Formal concept analysis (FCA) Incremental formation Knowledge acquisition Lattices Learning systems Robustness Rules extraction Software engineering Sun
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