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Data mining : theory, methodology, techniques, and applications / Graham J. Williams, Simeon J. Simoff (eds.).
- Format:
- Book
- Series:
- Lecture notes in computer science ; 3755.
- Lecture notes in computer science. Lecture notes in artificial intelligence.
- Lecture notes in computer science. State-of-the-art survey.
- LNCS sublibrary. Artificial intelligence. SL 7,
- LNCS sublibrary. SL 7, Artificial intelligence
- State-of-the-art survey
- Lecture notes in computer science, 0302-9743 ; 3755. Lecture notes in artificial intelligence
- Language:
- English
- Subjects (All):
- Data mining.
- Physical Description:
- 1 online resource (XI, 331 p.)
- Edition:
- 1st ed. 2006.
- Place of Publication:
- Berlin ; New York : Springer, c2006.
- Language Note:
- English
- Summary:
- This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.
- Contents:
- pt. 1. State-of-the-art in research
- pt. 2. State-of-the-art in applications.
- Notes:
- Chapters based on the works presented at the Australasian data mining conference series and industry forums.
- Includes bibliographical references and index.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-540-32548-4
- OCLC:
- 663096739
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