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Knowledge Discovery and Data Mining: Challenges and Realities

Knowledge Discovery and Data Mining: Challenges and Realities

Copyright: © 2007 |Pages: 290
ISBN13: 9781599042527|ISBN10: 1599042525|EISBN13: 9781599042541
DOI: 10.4018/978-1-59904-252-7
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MLA

Zhu, Xingquan, and Ian Davidson, editors. Knowledge Discovery and Data Mining: Challenges and Realities. IGI Global, 2007. https://doi.org/10.4018/978-1-59904-252-7

APA

Zhu, X. & Davidson, I. (Eds.). (2007). Knowledge Discovery and Data Mining: Challenges and Realities. IGI Global. https://doi.org/10.4018/978-1-59904-252-7

Chicago

Zhu, Xingquan, and Ian Davidson, eds. Knowledge Discovery and Data Mining: Challenges and Realities. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-252-7

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Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Foreword
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Preface
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Acknowledgment
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Chapters
Data Mining in Software Quality Modeling
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Knowledge Discovery from Genetic and Medical Data
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Chapter 3
Data Mining in Mixed Media Data
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Chapter 4
Mining Image Data Repository
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Chapter 5
Data Mining and Business Intelligence
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Chapter 6
Data Mining and Ontology Engineering
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Chapter 7
Traditional Data Mining Algorithms
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Back Materials
About the Authors
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Index
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