Data Mining Application With R

Learning from Data Made Easy with R: A Gentle Introduction for Data Science  eBooks & eLearning

Posted by AlenMiler at March 18, 2016
Learning from Data Made Easy with R: A Gentle Introduction for Data Science

Learning from Data Made Easy with R: A Gentle Introduction for Data Science by N.D Lewis
English | 14 Mar. 2016 | ASIN: B01D0PJMCI | 200 Pages | PDF (True) | 1.84 MB

Who Else Wants to Learn from Data the Easy Way? Start building smarter models today using R!

Software for Data Analysis: Programming with R [Repost]  

Posted by ChrisRedfield at Sept. 20, 2014
Software for Data Analysis: Programming with R [Repost]

John M. Chambers - Software for Data Analysis: Programming with R
Published: 2009-08-10 | ISBN: 0387759352, 1441926127 | PDF | 501 pages | 4 MB

Software for Data Analysis: Programming with R (Repost)  

Posted by step778 at Sept. 12, 2013
Software for Data Analysis: Programming with R (Repost)

John Chambers, "Software for Data Analysis: Programming with R"
2009 | pages: 515 | ISBN: 0387759352 | PDF | 4,5 mb

Temporal Data Mining (repost)  eBooks & eLearning

Posted by MoneyRich at Nov. 4, 2016
Temporal Data Mining (repost)

Temporal Data Mining by Theophano Mitsa
English | 12 Mar. 2010 | ISBN: 1420089765 | 395 Pages | PDF | 7 MB

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today.

Temporal Data Mining (repost)  

Posted by interes at June 29, 2014
Temporal Data Mining (repost)

Temporal Data Mining by Theophano Mitsa
English | 2010 | ISBN: 1420089765 | 395 pages | PDF | 6,5 MB

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today.
Jaideep Vaidya, Privacy Preserving Data Mining (Advances in Information Security) (Repost)

Jaideep Vaidya, Privacy Preserving Data Mining (Advances in Information Security)
ISBN: 0387258868 | edition 2004 | PDF | 124 pages | 14 mb

This book presents a sampling of work in the field. The primary target is the researcher or student who wishes to work in privacy-preserving data mining; the goal is to give a background on approaches along with details showing how to develop specific solutions within each approach. The book is organized much like a typical data mining text, with discussion of privacy-preserving solutions to particular data mining tasks.
 Privacy Preserving Data Mining (Advances in Information Security) (Repost)

Privacy Preserving Data Mining (Advances in Information Security)
Publisher: Springer | ISBN: 0387258868 | edition 2005 | PDF | 124 pages | 14,7 mb

This book presents a sampling of work in the field. The primary target is the researcher or student who wishes to work in privacy-preserving data mining; the goal is to give a background on approaches along with details showing how to develop specific solutions within each approach. The book is organized much like a typical data mining text, with discussion of privacy-preserving solutions to particular data mining tasks. Readers with more general interests on the interaction between data mining and privacy will want to concentrate on Chapters 1-3 and 8, which describe privacy impacts of data mining and general approaches to privacy-preserving data mining. Those who have particular data mining problems to solve, but run into roadblocks because of privacy issues, may want to concentrate on the specific type of data mining task in Chapters 4-7.
The authors sincerely hope this book will be valuable in bringing order to this new and exciting research area; leading to advances that accomplish the apparently competing goals of extracting knowledge from data and protecting the privacy of the individuals the data is about.

Learning Path: Intermediate Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 5, 2016
Learning Path: Intermediate Data Science with R

Learning Path: Intermediate Data Science with R
HDRips | MP4/AVC, ~757 kb/s | 1920х1080 / 1280x720 | Duration: 13:00:13 | English: AAC, 128 kb/s (2 ch)
Size: 4,78 GB | Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master all the features you'll need as a data scientist, from the basics to more advanced techniques including R Graph and machine learning. You'll work your data like never before.

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

Predictive Data Mining Models  eBooks & eLearning

Posted by naag at Dec. 4, 2016
Predictive Data Mining Models

Predictive Data Mining Models (Computational Risk Management)
Springer | 5 Oct 2016 | English | ISBN: 9811025428 | 102 pages | PDF | 4 Mb