Association Rule Mining Models and Algorithms /

• Main Authors: Zhang, Chengqi (Author, http://id.loc.gov/vocabulary/relators/aut), Zhang, Shichao (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Edition: 1st ed. 2002.
• Series: Lecture Notes in Artificial Intelligence ; 2307
• Subjects: Artificial intelligence.; Database management.; Information storage and retrieval.; Algorithms.; Artificial Intelligence.; Database Management.; Information Storage and Retrieval.; Algorithm Analysis and Problem Complexity.

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules,...