1.

Record Nr.

UNINA9910143910803321

Autore

Zhang Chengqi

Titolo

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

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002

ISBN

3-540-46027-6

Edizione

[1st ed. 2002.]

Descrizione fisica

1 online resource (XII, 244 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 2307

Disciplina

006.312

Soggetti

Artificial intelligence

Database management

Information storage and retrieval

Algorithms

Artificial Intelligence

Database Management

Information Storage and Retrieval

Algorithm Analysis and Problem Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.