Data Mining and Knowledge Discovery with Evolutionary Algorithms
Author | : Alex A. Freitas |
Publisher | : Springer Science & Business Media |
Total Pages | : 272 |
Release | : 2013-11-11 |
ISBN-10 | : 9783662049235 |
ISBN-13 | : 3662049236 |
Rating | : 4/5 (236 Downloads) |
Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics