Welcome to the InfoSci Platform
Reference Hub24
Indices1
Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction

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

Yanchang Zhao, Chengqi Zhang, Longbing Cao
Copyright: © 2009 |Pages: 394
ISBN13: 9781605664040|ISBN10: 1605664049|EISBN13: 9781605664057|ISBN13 Softcover: 9781616925963
DOI: 10.4018/978-1-60566-404-0
Cite Book Cite Book

MLA

Zhao, Yanchang, et al., editors. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. IGI Global, 2009. https://doi.org/10.4018/978-1-60566-404-0

APA

Zhao, Y., Zhang, C., & Cao, L. (Eds.). (2009). Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. IGI Global. https://doi.org/10.4018/978-1-60566-404-0

Chicago

Zhao, Yanchang, Chengqi Zhang, and Longbing Cao, eds. Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-404-0

Export Reference

Mendeley
Favorite Full-Book Download

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.

Table of Contents

Reset
Front Materials
PDFHTML
Title Page
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Copyright Page
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Editorial Advisory Board
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Foreword
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Preface
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Acknowledgment
This content has been removed at the discretion of the publisher and the editors.
Chapters
PDFHTML
Chapter 1
Introduction  (pages 22-22)
Introduction
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Chapter 2
Identifying Interesting Rules
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Post-Analysis and Post-Mining of Association Rules
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Chapter 4
Rule Selection for Classification
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Visualization and Representation of Association Rules
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Maintenance of Association Rules and New Forms of Association Rules
This content has been removed at the discretion of the publisher and the editors.
Back Materials
PDFHTML
Compilation of References
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
About the Contributors
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Index
This content has been removed at the discretion of the publisher and the editors.
View All Books

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.