Chapman & Hall/CRC - Data Mining and Knowledge Discovery Series

Aims and Scope:
As the field of data mining and knowledge discovery continues to grow, the timely dissemination of emerging research in the field has become increasingly important both in mathematics and statistics, 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 author and contributed works that will
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, University of Minnesota

Executive Editor:
Randi Cohen
Computer Science Acquisitions Editor
Chapman & Hall/CRC Press
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