Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction

Author:   Yanchang Zhao ,  Chengqi Zhang ,  Longbing Cao
Publisher:   IGI Global
ISBN:  

9781605664040


Pages:   372
Publication Date:   30 May 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction


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Author:   Yanchang Zhao ,  Chengqi Zhang ,  Longbing Cao
Publisher:   IGI Global
Imprint:   Information Science Reference
Dimensions:   Width: 21.60cm , Height: 2.20cm , Length: 28.00cm
Weight:   1.404kg
ISBN:  

9781605664040


ISBN 10:   1605664049
Pages:   372
Publication Date:   30 May 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Yanchang Zhao is a Postdoctoral Research Fellow in Data Sciences & Knowledge Discovery Research Lab, Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering & IT, University of Technology, Sydney, Australia. His research interests focus on association rules, sequential patterns, clustering and post-mining. He has published more than 30 papers on the above topics, including six journal articles and two book chapters. He served as a chair of two international workshops, and a program committee member for 11 international conferences and a reviewer for 8 international journals and over a dozen of international conferences. Chengqi Zhang is a Research Professor in Faculty of Engineering & IT, University of Technology, Sydney, Australia. He is the director of the Director of UTS Research Centre for Quantum Computation and Intelligent Systems and a Chief Investigator in Data Mining Program for Australian Capital Markets on Cooperative Research Centre. He has been a chief investigator of eight research projects. His research interests include Data Mining and Multi-Agent Systems. He is a co-author of three monographs, a co-editor of nine books, and an author or co-author of more than 150 research papers. He is the chair of the ACS (Australian Computer Society) National Committee for Artificial Intelligence and Expert Systems, a chair/member of the Steering Committee for three international conference. Longbing Cao is an Associate Professor in Faculty of Engineering & IT, University of Technology, Sydney (Australia). He is the Director of Data Sciences & Knowledge Discovery Research Lab. His research interest focuses on domain driven data mining, multi-agents, and the integration of agent and data mining. He is a chief investigator of two ARC (Australian Research Council) Discovery projects and one ARC Linkage project. He has over 50 publications, including one monograph, two edited books and 10 journal articles. He is a program co-chair of 11 international conferences.

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