Association Rule Mining : Models and Algorithms / / by Chengqi Zhang, Shichao Zhang

• Autore: Zhang Chengqi
• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002
• Edizione: 1st ed. 2002.
• Descrizione fisica: 1 online resource (XII, 244 p.)
• Disciplina: 006.312
• Soggetto topico: Artificial intelligence; Database management; Information storage and retrieval; Algorithms; Artificial Intelligence; Database Management; Information Storage and Retrieval; Algorithm Analysis and Problem Complexity
• Persona (resp. second.): ZhangShichao
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Association Rule Mining
• ISBN: 3-540-46027-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910143910803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence ; ; 2307