DEC 31, 1969

Web Seminars

Business Intelligence that is all about the customer
Available On Demand
Digital mesh or digital mess? Prepping for the future of IoT management
Available On Demand
The role of analytics in cyber security
December 13, 2016

Data Mining and Knowledge Discovery With Evolutionary Algorithms

Print
Reprints
Email

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. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making.In a nutshell, 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. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search performed by most rule induction methods.

Click here to buy this book

Please note you must now log in with your email address and password.