Applied Data Mining

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Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

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Title Statements

Full title :Applied Data Mining.

Summary

Edition Statements

Publication Date:2013.

Publication Statements

Publisher(s):CRC Press (an imprint of Taylor & Francis)
Language:eng
Publication Date:2013.

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:1299704433, 9781299704435, 1466585838, 9781466585836, 9781466585843, 1466585846
oclc:ocn851154433
LC Classification:QA76.9.D343 X83 2013
Dewey Decimal:006.3/12

Part I. Fundamentals -- 1. Introduction -- 2. Mathematical foundations -- 3. Data preparation -- 4. Clustering analysis -- 5. Classification -- 6. Frequent pattern mining -- part II. Advanced data mining -- 7. Advanced clustering analysis -- 8. Multi-label classification -- 9. Privacy preserving in data mining -- part III. Emerging applications -- 10. Data stream -- 11. Recommendation systems -- 12. Social tagging systems.