Data Mining and Mathematical Programming Paperback / softback
Part of the CRM Proceedings & Lecture Notes series
Paperback / softback
Description
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.
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:Illustrations
- Publisher:American Mathematical Society
- Publication Date:30/04/2008
- Category:
- ISBN:9780821843529
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:Illustrations
- Publisher:American Mathematical Society
- Publication Date:30/04/2008
- Category:
- ISBN:9780821843529
