*Intelligent Data Mining - Techniques and Applications* is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main obje
Data Mining: Theory, Methodology, Techniques, and Applications
โ Scribed by Geoffrey I. Webb, Damien Brain (auth.), Graham J. Williams, Simeon J. Simoff (eds.)
- Book ID
- 127449806
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 4 MB
- Edition
- 1
- Category
- Library
- ISBN
- 3540325484
- DOI
- 10.1007/11677437
No coin nor oath required. For personal study only.
โฆ Synopsis
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. The original papers were initially reviewed for workshops, conferences and forums.
The 25 articles in this state-of-the-art survey were carefully reviewed and selected from numerous contributions during at least two rounds of reviewing and improvement for inclusion in the book. They provide an interesting and broad update on current research and development in data mining.
The book is divided into two parts. It starts with state-of-the-art research papers organized in topical sections on methodological advances, data linkage, text mining, and temporal and sequence mining. The second part comprises papers on state-of-the-art industrial applications from the fields of health, finance and retail.
โฆ Subjects
Pattern Recognition
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