Download the fantastic book titled Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases written by Ashish Ghosh, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases", which was released on 19 March 2008. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh PDF
The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Detail About Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases PDF
- Author : Ashish Ghosh
- Publisher : Springer Science & Business Media
- Genre : Mathematics
- Total Pages : 169 pages
- ISBN : 3540774661
- Release Date : 19 March 2008
- PDF File Size : 37,5 Mb
- Language : English
- Rating : 5/5 from 1 reviews
Clicking on the GET BOOK button will initiate the downloading process of Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh. This book is available in ePub and PDF format with a single click unlimited downloads.
