Top 10 Algorithms in Data Mining

The Top Ten Algorithms in Data Mining (Repost)  

Posted by Veslefrikk at Sept. 5, 2014
The Top Ten Algorithms in Data Mining (Repost)

Xindong Wu, Vipin Kumar "The Top Ten Algorithms in Data Mining"
Chapman & Hall/CRC | English | 2009-04-09 | ISBN: 1420089641 | 208 pages | PDF | 5,3 MB

The Top Ten Algorithms in Data Mining (repost)  

Posted by Veslefrikk at June 14, 2014
The Top Ten Algorithms in Data Mining (repost)

The Top Ten Algorithms in Data Mining
Chapman & Hall/CRC | English | 2009-04-09 | ISBN: 1420089641 | 208 pages | PDF | 5,3 MB

The Top Ten Algorithms in Data Mining (Repost)  

Posted by elodar at Sept. 5, 2013
The Top Ten Algorithms in Data Mining (Repost)

Xindong Wu, Vipin Kumar, "The Top Ten Algorithms in Data Mining"
English | 2009-04-09 | ISBN: 1420089641 | 214 pages | PDF | 3.80 mb

The Top Ten Algorithms in Data Mining  

Posted by Book-er at May 15, 2009
The Top Ten Algorithms in Data Mining

Xindong Wu, Vipin Kumar "The Top Ten Algorithms in Data Mining"
Chapman & Hall/CRC | English | 2009-04-09 | ISBN: 1420089641 | 208 pages | PDF | 5,3 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.
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.

Udemy – Case Studies in Data Mining with R  

Posted by naag at Sept. 6, 2015
Udemy – Case Studies in Data Mining with R

Udemy – 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.