Data Mining and Knowledge Discovery with Evolutionary Algorithms is popular PDF and ePub book, written by Alex A. Freitas in 2013-11-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Mining and Knowledge Discovery with Evolutionary Algorithms can be Read Online from any device for your convenience.
Data Mining and Knowledge Discovery with Evolutionary Algorithms Book PDF Summary
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
Detail Book of Data Mining and Knowledge Discovery with Evolutionary Algorithms PDF
- Author : Alex A. Freitas
- Release : 11 November 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783662049235
- Genre : Computers
- Total Page : 272 pages
- Language : English
- PDF File Size : 21,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
