Mining multiple-level association rules in large databases

A top-down progressive deepening method is developed for efficient mining of multiple-level association rules from large transaction databases based on the a priori principle. A group of variant algorithms is proposed based on the ways of sharing intermediate results, with the relative performance t...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 1999-09, Vol.11 (5), p.798-805
Hauptverfasser:	Han, Jiawei, Fu, Yongjian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Association rules Computer Society Concrete Dairy products Data mining Mining Performance analysis Taxonomy Testing Transaction databases
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