logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Evolutionary Computation In Data Mining 1st Edition Keigo Watanabe

  • SKU: BELL-990444
Evolutionary Computation In Data Mining 1st Edition Keigo Watanabe
$ 31.00 $ 45.00 (-31%)

4.0

26 reviews

Evolutionary Computation In Data Mining 1st Edition Keigo Watanabe instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 15.43 MB
Pages: 278
Author: Keigo Watanabe, M.M.A. Hashem
ISBN: 9783540209010, 3540209018
Language: English
Year: 2004
Edition: 1

Product desciption

Evolutionary Computation In Data Mining 1st Edition Keigo Watanabe by Keigo Watanabe, M.m.a. Hashem 9783540209010, 3540209018 instant download after payment.

This book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications. "Evolutionary Computation in Data Mining" provides a balanced mixture of theory, algorithms and applications in a cohesive manner, and demonstrates how the different tools of evolutionary computation can be used for solving real-life problems in data mining and bioinformatics.

Related Products