Knowledge Discovery and Data Mining: Challenges and Realities.

Zhu, Xingquan and Ian Davidson:

ISBN 10: 1599042525 / ISBN 13: 9781599042527

Published by Information Science Reference, 2007

About this Item

292 S.; Ill.; 28,5 cm, Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1270.

Seller Inventory # 826227

Bibliographic Details

• Title: Knowledge Discovery and Data Mining: Challenges and Realities.
• Publisher: Information Science Reference
• Publication Date: 2007
• Language: English
• ISBN 10: 1599042525
• ISBN 13: 9781599042527
• Binding: Hardcover
• Condition: Wie neu
• Weight: 1270 grams
• Seller catalogs:
  • Informatik, Hardware, Software

About this title

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. 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.

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 assistant professor in the Department of Computer Science, University of Vermont, Burlington, VT. His research interests include data mining, machine learning, data quality, multimedia systems and information retrieval. Since 2000, Dr. Zhu has published extensively, including over 50 refereed papers in various journals and conference proceedings. Ian Davidson is currently an assistant professor of computer science at the State University of New York (SUNY) at Albany. Prior to this appointment he worked in Silicon Valley most recently for SGIs MineSet datamining group. He publishes and serves on the program committees of most AI and data mining conferences. He has a Ph.D. from Monash University under the supervision of C.S. Wallace.