Publications

Chapman and Hall/CRC Press and Dr. Vipin Kumar are very pleased to announce the development of our new Data Mining and Knowledge Discovery book series. This series aims to present the latest developments and applications in data mining and knowledge discovery, through the publication of a broad range of reference works, textbooks, and handbooks.

Forthcoming titles in the series include:

• Using Matrix Decompositions for Data Mining, by David Skillicorn
• Computational Methods of Feature Selection, edited by Huan Liu and Hiroshi Motoda.

AIMS AND SCOPE:
As the field of data mining and knowledge discovery continues to grow, the timely dissemination of emerging research has become increasingly important both in math and stats, as well as across a range of disciplines seeking to take advantage of the wealth of data made available through informatics. This series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis.

This series is being established to encourage the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and handbooks. We are looking to include those single authored and contributed works that will -

o Provide introductory and advanced instructional and reference material for students and professionals in the mathematical, statistical, and computational sciences o Supply researchers with the latest discoveries and the resources they need to advance the field o Offer assistance to those interdisciplinary researchers and practitioners seeking to make use of data mining technology without advanced mathematical backgrounds

The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of data mining and knowledge discovery methods and applications, modeling, algorithms, theory and foundations, data and knowledge visualization, data mining systems and tools, and privacy and security issues.We are willing to consider other relevant topics that might be proposed by potential contributors.

Series editor
Vipin Kumar
William Norris Professor and Head,
Department of Computer Science and Engineering
University of Minnesota
kumar@cs.umn.edu

Proposals for the series may be submitted to the series editor or directly to -

Randi Cohen
Computer Science Acquisitions Editor
Chapman & Hall/CRC Press
3108 Rockwater Way, Virginia Beach, VA 23456
757-427-0160 o 757-427-0376 (fax)
randi.cohen@taylorandfrancis.com