Knowledge discovery and data mining : challenges and realities /
"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality...
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Corporate Authors: | |
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Group Author: | ; |
Published: |
IGI Global,
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Publisher Address: | Hershey, Pa. : |
Publication Dates: | 2007. |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-252-7 |
Summary: |
"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher. |
Carrier Form: | PDFs (xv, 274 pages) : illustrations |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781599042541 (ebook) 1599042541 (ebook) |
Access: | Restricted to subscribers or individual electronic text purchasers. |
Index Number: | QA76 |
CLC: | TP311.13 |
Contents: |
Section I. Data Mining in Software Quality Modeling -- 1. Software Quality Modeling with Limited Apriori Defect Data -- Section II. Knowledge Discovery from Genetic and Medical Data -- 2. Genome-Wide Analysis of Epistasis Using Multifactor Dimensionality Reduction: Feature Selection and Construction in the Domain of Human Genetics -- 3. Mining Clinical Trial Data -- Section III. Data Mining in Mixed Media Data -- 4. Cross-Modal Correlation Mining Using Graph Algorithms -- Section IV. Mining Image Data Repository -- 5. Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems -- 6. A Successive Decision Tree Approach to Mining Remotely Sensed Image Data -- Section V. Data Mining and Business Intelligence -- 7. The Business Impact of Predictive Analytics -- 8. Beyond Classification: Challenges of Data Mining for Credit Scoring -- Section VI. Data Mining and Ontology Engineering -- 9. Semantics Enhancing Knowledge Discovery and Ontology Engineering Using Mining Techniques: A Crossover Review -- 10. Knowledge Discovery in Biomedical Data Facilitated by Domain Ontologies -- Section VII. Traditional Data Mining Algorithms -- 11. Effective Intelligent Data Mining Using Dempster-Shafer Theory -- 12. Outlier Detection Strategy Using the Self-Organizing Map -- 13. Re-Sampling Based Data Mining Using Rough Set Theory -- About the Authors -- Index. |