Knowledge discovery and data mining : challenges and realities

著者

    • Zhu, Xingquan
    • Davidson, Ian

書誌事項

Knowledge discovery and data mining : challenges and realities

Xingquan Zhu, Ian Davidson

（Premier reference source）

Information Science Reference, c2007

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注記

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

Includes bibliographical references and index

HTTP:URL=http://www.loc.gov/catdir/toc/ecip072/2006033770.html Information=Table of contents only

内容説明・目次

内容説明

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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