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Knowledge Discovery and Data Mining: Challenges and Realities
By
Xingquan Zhu (editor)
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Bibliographic Detail
Publisher
Gale Group
Publication date
September 26, 2007
Edition
1
Book category
Adult Non-Fiction
ISBN-13
9781599042541
ISBN-10
1599042541
Original list price
$0.04
Summaries and Reviews
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.
Editions
Hardcover
from Idea Group Reference (April 30, 2007)
9781599042527 | details & prices | 274 pages | 8.50 × 11.00 × 1.00 in. | 2.46 lbs | List price $165.00
About: '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.
About: '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.
Miscellaneous
The price comparison is for this edition
1 edition from Gale Group (September 26, 2007)
9781599042541 | details & prices | List price $0.04
About: '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.
About: '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.
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