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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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Zhu, Xingquan, 1973- (Editor); Davidson, Ian, 1971- (Editor)
Published: IGI Global,
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.