Post-mining of Association Rules: Techniques for Effective Knowledge Extraction - Hardcover

Zhao, Yanchang

Hardcover

ISBN 10: 1605664049 ISBN 13: 9781605664040

Publisher: Information Science Reference, 2009

Synopsis

There is often a large number of association rules discovered in data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize, and post-mine the discovered rules. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules. This book presents researchers, practitioners, and academicians with tools to extract useful and actionable knowledge after discovering a large number of association rules.

About this title

About the Author

Yanchang Zhao is a Senior Data Mining Specialist in Australian public sector. Before joining public sector, he worked as an Australian Postdoctoral Fellow (Industry) at University of Technology, Sydney from 2007 to 2009. He is the founder of the RDataMining.com website and an RDataMining Group on LinkedIn. He has been applying data mining in real-world business applications since 2006. He has over 50 publications on data mining research and applications, including three books. He has been a Program Chair of the 10th Australasian Data Mining Conference (AusDM 2012) and has been a program committee member for 40+ academic 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 8 research projects. His research interests include Data Mining and Multi-Agent Systems. He is a co-author of 3 monographs, a co-editor of 9 books, and an author or co-author of 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 a 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 2 ARC (Australian Research Council) Discovery projects and 1 ARC Linkage project. He has 50+ publications, including 1 monograph, 2 edited books and 10 journal articles. He is a program co-chair of 11 international conferences.

Edition details

• Publisher: Information Science Reference
• Publication date: 2009
• Language: English
• ISBN 10: 1605664049
• ISBN 13: 9781605664040
• Binding: Hardcover
• Edition number: 1
• Number of pages: 372
• Editor: Zhang Chengqi, Cao Longbing