Knowledge discovery and data mining: challenges and realities

"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...

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Bibliographic Details
Other Authors: Zhu, Xingquan (Editor), Davidson, Ian (Editor)
Format: Electronic eBook
Language:English
Published: Hershey ; New York Information Science Reference [2007]
Series:Premier reference source
Subjects:
Online Access:DE-706
DE-1049
DE-898
DE-1050
DE-83
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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
Item Description:Includes bibliographical references and index
Physical Description:1 Online-Ressource (xv, 274 Seiten) Illustrationen
ISBN:9781599042541

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