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Synopsis
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....
About the Author
Xingquan Zhu is an assistant professor in the Department of Computer Science and Engineering at Florida Atlantic University, Boca Raton, FL. He received his Ph.D. in computer science from Fudan University, Shanghai, China, in 2001. From February 2001 to October 2002, he was a postdoctoral associate in the Department of Computer Science, Purdue University, West Lafayette, IN. From October 2002 to July 2006, he was a research...
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- PublisherInformation Science Reference
- Publication date2007
- ISBN 10 1599042525
- ISBN 13 9781599042527
- BindingHardcover
- LanguageEnglish
- Number of pages292
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KNOWLEDGE DISCOVERY AND DATA MINING CHALLENGES AND REALITIES
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Knowledge Discovery and Data Mining: Challenges and Realities
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Knowledge Discovery and Data Mining
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Knowledge Discovery and Data Mining: Challenges and Realities
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Knowledge Discovery and Data Mining: Challenges and Realities
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Knowledge Discovery and Data Mining : Challenges and Realities
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ISBN 10: 1599042525
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781599042527
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Knowledge Discovery and Data Mining: Challenges and Realities
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