Evolutionary Computation in Data Mining

Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)

Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)

9783540223702 | (3540223703) | Springer | 2004 | 15 MB | RS | FF

Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach  eBooks & eLearning

Posted by karapuzik at Nov. 30, 2009
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach
187 pages | Springer; 1 edition (November 5, 2009) | 3642025404 | PDF | 1 Mb

Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in the data, i.e., to directly solve the target data mining problem. This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters.
Advances in Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Te

Advances in Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications; 4th … Papers (Lecture Notes in Computer Science) by Petra Perner
English | June 13, 2008 | ISBN: 3540240543 | 183 Pages | PDF | 4 MB

The Industrial Conference on Data Mining ICDM-Leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig.

Evolutionary Computation in Combinatorial Optimization  eBooks & eLearning

Posted by arundhati at July 22, 2016
Evolutionary Computation in Combinatorial Optimization

Francisco Chicano, Bin Hu, "Evolutionary Computation in Combinatorial Optimization: 16th European Conference, EvoCOP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings"
2016 | ISBN-10: 3319306979 | 280 pages | PDF | 12 MB

Computational Intelligence in Data Mining  eBooks & eLearning

Posted by tanas.olesya at June 28, 2016
Computational Intelligence in Data Mining

Computational Intelligence in Data Mining by Giacomo Della Riccia
English | 31 May 2000 | ISBN: 3211833269 | 169 Pages | PDF | 17 MB

The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing.

Case Studies in Data Mining with R [repost]  eBooks & eLearning

Posted by naag at May 28, 2016
Case Studies in Data Mining with R [repost]

Case Studies in Data Mining with R
MP4 | Video: 1280x720 | 61 kbps | 44 KHz | Duration: 21 Hours | 7.14 GB
Genre: eLearning | Language: English

Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.

Quality Measures in Data Mining [Repost]  eBooks & eLearning

Posted by tanas.olesya at April 11, 2016
Quality Measures in Data Mining [Repost]

Quality Measures in Data Mining by Fabrice Guillet
English | 8 Jan. 2007 | ISBN: 3540449116 | 315 Pages | PDF | 6 MB

Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst.
"Advances in Data Mining Knowledge Discovery and Applications" ed. by Adem Karahoca

"Advances in Data Mining Knowledge Discovery and Applications" ed. by Adem Karahoca
ITeAe | 2012 | ISBN: 9789535107484 | 429 pages | PDF | 15 MB

This book aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining.
Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics)

Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics) by Hitoshi Iba
English | Feb. 16, 2016 | ISBN: 1118911512 | ASIN: B01AYO47SM | 464 Pages | AZW3/EPUB/PDF (conv) | 40.39 MB

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists.
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving (Repost)

Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Publisher: Springer | 2004 | ISBN: 140202939X | 576 pages | PDF | 64,6 MB

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making.