Statistical Data Mining and Knowledge Discovery

Features

• Cover Type: Hard Cover with 624 pages
• Published by: Chapman & Hall/CRC
• Edition: 1st Edition July 29, 2003
• Written in: English
• ISBN 10 Number: 1584883448
• ISBN 13 Number: 978-1584883449
• Book Dimensions: 10.1 x 5.7 x 1.4 inches
• Weighs: 2.2 pounds

Product Review
[N]icely produced … Overall, the book seems more worthwhile than many collections of edited papers arising from conference proceedings … .
- Journal of the Royal Statistical Society, Series A, Vol. 157 (3)

[N]icely produced … Overall, the book seems more worthwhile than many collections of edited papers arising from conference proceedings … .
- Journal of the Royal Statistical Society, Series A, Vol. 157 (3)

Product Description
Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approaches that meld concepts, tools, and techniques from diverse areas, such as computer science, statistics, artificial intelligence, and financial engineering. Statistical Data Mining and Knowledge Discovery brings together a stellar panel of experts to discuss and disseminate recent developments in data analysis techniques for data mining and knowledge extraction. This carefully edited collection provides a practical, multidisciplinary perspective on using statistical techniques in areas such as market segmentation, customer profiling, image and speech analysis, and fraud detection. The chapter authors, who include such luminaries as Arnold Zellner, S. James Press, Stephen Fienberg, and Edward K. Wegman, present novel approaches and innovative models and relate their experiences in using data mining techniques in a wide range of applications.