Data Mining Pytho

Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science)

Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science) by Christian Bessiere
English | 6 Jan. 2017 | ISBN: 3319501364 | 349 Pages | PDF | 12.4 MB

A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications.
Statistical Data Mining Using SAS Applications, Second Edition (repost)

Statistical Data Mining Using SAS Applications, Second Edition by George Fernandez
English | 2010 | ISBN: 1439810753 | 477 pages | PDF | 19,5 MB

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach.

Data Mining Mobile Devices (Repost)  eBooks & eLearning

Posted by roxul at Dec. 6, 2016
Data Mining Mobile Devices (Repost)

Jesus Mena, "Data Mining Mobile Devices"
English | 2013 | ISBN: 1466555955 | 328 pages | PDF | 19,6 MB

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

Data Mining with Python: Implementing Classification and Regression  eBooks & eLearning

Posted by FenixN at Nov. 23, 2016
Data Mining with Python: Implementing Classification and Regression

Data Mining with Python: Implementing Classification and Regression
HDRips | MP4/AVC, ~58 kb/s | 1280x720 | Duration: 02:03:25 | English: AAC, 128 kb/s (2 ch) | 297 MB
Genre: Development / Programming

A practical guide that will give you hands-on experience with the popular Python data mining algorithms.
Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support [Repost]

Joseph P. Bigus - Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support
1996 | ISBN: 0070057796 | English | 220 pages | DJVU | 2.8 MB

Learning Data Mining with R  eBooks & eLearning

Posted by FenixN at Nov. 6, 2016
Learning Data Mining with R

Learning Data Mining with R
HDRips | MP4/AVC, ~84 kb/s | 1280x720 | Duration: 02:17:02 | English: AAC, 128 kb/s (2 ch) | 335 MB
Genre: Development / Programming

A complete course to help you learn all the relevant aspects of data mining using R.

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.

DATA MINING with MATLAB  eBooks & eLearning

Posted by AlenMiler at Oct. 29, 2016
DATA MINING with MATLAB

DATA MINING with MATLAB by Marvin L.
English | 25 Oct. 2016 | ISBN: 1539712494 | 221 Pages | PDF | 3.85 MB

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both.
Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining (repost)

Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining by Tom Soukup
English | 16 May 2002 | ISBN: 0471149993 | 424 Pages | PDF | 20 MB

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non–technical audience to help them solve common business problems.