Association Rule Mining Models and Algorithms /
Zhang, Chengqi.
Association Rule Mining Models and Algorithms / [electronic resource] : by Chengqi Zhang, Shichao Zhang. - 1st ed. 2002. - XII, 244 p. online resource. - Lecture Notes in Artificial Intelligence, 2307 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2307 .
Association Rule -- Negative Association Rule -- Causality in Databases -- Causal Rule Analysis -- Association Rules in Very Large Databases -- Association Rules in Small Databases -- Conclusion and Future Work.
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, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
9783540460275
10.1007/3-540-46027-6 doi
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Algorithms.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Algorithms.
Q334-342 TA347.A78
006.3
Association Rule Mining Models and Algorithms / [electronic resource] : by Chengqi Zhang, Shichao Zhang. - 1st ed. 2002. - XII, 244 p. online resource. - Lecture Notes in Artificial Intelligence, 2307 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 2307 .
Association Rule -- Negative Association Rule -- Causality in Databases -- Causal Rule Analysis -- Association Rules in Very Large Databases -- Association Rules in Small Databases -- Conclusion and Future Work.
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, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
9783540460275
10.1007/3-540-46027-6 doi
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Algorithms.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Algorithms.
Q334-342 TA347.A78
006.3