Home ยป Data Mining and Knowledge Discovery with Evolutionary Algorithms

Data Mining and Knowledge Discovery with Evolutionary Algorithms Book [PDF] Download

Download the fantastic book titled Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas, 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 "Data Mining and Knowledge Discovery with Evolutionary Algorithms", which was released on 11 November 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas PDF

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

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Detail About Data Mining and Knowledge Discovery with Evolutionary Algorithms PDF

  • Author : Alex A. Freitas
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 272 pages
  • ISBN : 3662049236
  • PDF File Size : 48,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Data Mining and Knowledge Discovery with Evolutionary Algorithms
  • Publisher : Springer Science & Business Media
  • File Size : 38,6 Mb
  • Release Date : 11 November 2013
GET BOOK

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

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Data Mining and Knowledge Discovery with Evolutionary Algorithms
  • Publisher : Springer Science & Business Media
  • File Size : 53,5 Mb
  • Release Date : 21 August 2002
GET BOOK

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

Evolutionary Computation in Data Mining

Evolutionary Computation in Data Mining
  • Publisher : Springer
  • File Size : 35,5 Mb
  • Release Date : 22 June 2006
GET BOOK

Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (

Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery
  • Publisher : Springer Science & Business Media
  • File Size : 33,9 Mb
  • Release Date : 06 December 2012
GET BOOK

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the

Soft Computing for Knowledge Discovery and Data Mining

Soft Computing for Knowledge Discovery and Data Mining
  • Publisher : Springer Science & Business Media
  • File Size : 28,7 Mb
  • Release Date : 25 October 2007
GET BOOK

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and

Automating the Design of Data Mining Algorithms

Automating the Design of Data Mining Algorithms
  • Publisher : Springer Science & Business Media
  • File Size : 31,6 Mb
  • Release Date : 27 October 2009
GET BOOK

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (

Mathematical Methods for Knowledge Discovery and Data Mining

Mathematical Methods for Knowledge Discovery and Data Mining
  • Publisher : IGI Global
  • File Size : 35,5 Mb
  • Release Date : 31 October 2007
GET BOOK

"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods;