Data Mining: Next Generation Challenges and Future Directions

Kargupta, Hillol; Joshi, Anupam; Sivakumar, Krishnamoorthy; Yesha, Yelena (eds.)

ISBN 10: 0262612038 / ISBN 13: 9780262612036

Published by Americam Association for Artificial Intelligence, Menlo Park, CA, U.S.A., 2004

About this Item

Paperback. Small publisher's stamp on lower edge of page block. Pages are clean and tight throughout. T.

Seller Inventory # 302739

Bibliographic Details

• Title: Data Mining: Next Generation Challenges and Future Directions
• Publisher: Americam Association for Artificial Intelligence, Menlo Park, CA, U.S.A.
• Publication Date: 2004
• Language: English
• ISBN 10: 0262612038
• ISBN 13: 9780262612036
• Binding: Paperback
• Condition: Very Good
• Dust Jacket Condition: No Dust Jacket
• Book Type: Used
• Seller catalogs:
  • Computers & Technology (incl. AI)

About this title

Synopsis

A state-of-the-art survey of recent advances in data mining or knowledge discovery.

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research. The first part looks at pervasive, distributed, and stream data mining, discussing topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second part considers data mining, counter-terrorism, and privacy concerns, examining such topics as biosurveillance, marshalling evidence through data mining, and link discovery. The third part looks at scientific data mining; topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics, and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.

About the Author

Krishnamoorthy Sivakumar is Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University.