Knowledge Discovery and Data Mining: Challenges and Realities

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DOI: 10.4018/978-1-59904-252-7
ISBN13: 9781599042527
ISBN10: 1599042525
EISBN13: 9781599042541
Author(s)/Editor(s): Xingquan Zhu (University of Vermont, USA); Ian Davidson (State University of New York at Albany, USA)
Copyright: 2007
Pages: 1-274 pp.

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Description

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.

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