Screen LibraryPost-mining of association rules : techniques for effective knowledge extraction /
"This book provides a systematic collection on the post-mining, summarization and presentation of association rule, as well as new forms of association rules"--Provided by publisher.
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| Corporate Authors: | |
|---|---|
| Group Author: | ; ; |
| Published: |
IGI Global,
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| Publisher Address: | Hershey, Pa. : |
| Publication Dates: | 2009. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-404-0 |
| Summary: |
"This book provides a systematic collection on the post-mining, summarization and presentation of association rule, as well as new forms of association rules"--Provided by publisher. |
| Carrier Form: | PDFs (xxi, 372 pages) : illustrations |
| Bibliography: | Includes bibliographical (pages 335-360) references and index. |
| ISBN: |
9781605664057 (ebook) 1605664057 (ebook) |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
| Index Number: | BF319 |
| CLC: | B842.3-39 |
| Contents: |
Section I. Introduction -- 1. Association Rules: An Overview -- Section II. Identifying Interesting Rules -- 2. From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness -- 3. Combining Data-Driven and User-Driven Evaluation Measures to Identify Interesting Rules -- 4. Semantics-Base Section III. Post-Analysis and Post-Mining of Association Rules -- 5. Post-Processing for Rule Reduction Using Closed Set -- 6. A Conformity Measure Using Background Knowledge for Association Rules: Application to Text Mining -- 7. Continuous Post-Minin Section IV. Rule Selection for Classification -- 9. Variations on Associative Classifiers and Classification Results Analyses -- 10. Selection of High Quality Rules in Associative Classification -- Section V. Visualization and Representation of Association Rules -- 11. Meta-Knowledge Based Approach for an Interactive Visualization of Large Amounts of Association Rules -- 12. Visualization to Assist the Generation and Exploration of Association Rul Section VI. Maintenance of Association Rules and New Forms of Association Rules -- 14. Maintenance of Frequent Patterns: A Survey -- 15. Mining Conditional Contrast Patterns -- 16. Multidimensional Model-Based Decision Rules Mining -- Compilation of Ref |