**CRM Proceedings & Lecture Notes**

Volume: 45;
2008;
234 pp;
Softcover

MSC: Primary 68; 90;
**Print ISBN: 978-0-8218-4352-9
Product Code: CRMP/45**

List Price: $93.00

Individual Member Price: $74.40

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# Data Mining and Mathematical Programming

Share this page *Edited by *
*Panos M. Pardalos; Pierre Hansen*

A co-publication of the AMS and Centre de Recherches Mathématiques

Data mining aims at finding interesting, useful or profitable information in
very large databases. The enormous increase in the size of available
scientific and commercial databases (data avalanche) as well as the
continuing and exponential growth in performance of present day computers
make data mining a very active field. In many cases, the burgeoning volume
of data sets has grown so large that it threatens to overwhelm rather than
enlighten scientists. Therefore, traditional methods are revised and
streamlined, complemented by many new methods to address challenging new
problems. Mathematical Programming plays a key role in this endeavor. It
helps us to formulate precise objectives (e.g., a clustering criterion or a
measure of discrimination) as well as the constraints imposed on the
solution (e.g., find a partition, a covering or a hierarchy in clustering).
It also provides powerful mathematical tools to build highly performing
exact or approximate algorithms.

This book is based on lectures presented at the workshop on "Data Mining and
Mathematical Programming" (October 10–13, 2006, Montreal) and will be a
valuable scientific source of information to faculty, students, and
researchers in optimization, data analysis and data mining, as well as
people working in computer science, engineering and applied
mathematics.

Titles in this series are co-published with the Centre de Recherches Mathématiques.

#### Table of Contents

# Table of Contents

## Data Mining and Mathematical Programming

#### Readership

Graduate students and research mathematicians interested in optimization, data analysis, and data mining.