Matlab Data Mining

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.

Data Mining for Social Robotics  eBooks & eLearning

Posted by Underaglassmoon at Feb. 2, 2016
Data Mining for Social Robotics

Data Mining for Social Robotics: Toward Autonomously Social Robots
Springer | Database Management | February 9, 2016 | ISBN-10: 3319252305 | 328 pages | pdf | 9.21 mb

Authors: Mohammad, Yasser, Nishida, Toyoaki
Reviews the key recent research in social robotics, learning from demonstration and imitation
Offers a detailed explanation of key algorithms in change discovery, motif discovery and causality analysis
Illustrates in detail the design methodology for developing social robots using a novel developmental architecture that employs only unsupervised learning techniques to achieve autonomous sociability
Includes case studies in applying time-series analysis and data mining techniques to several problems in Human-Robot Interaction with an open-source MATLAB toolbox implementing the key algorithms

Data Mining in Agriculture  eBooks & eLearning

Posted by ChrisRedfield at June 26, 2014
Data Mining in Agriculture

Antonio Mucherino, ‎Petraq J. Papajorgji, ‎Panos M. Pardalos - Data Mining in Agriculture
Published: 2009-08-21 | ISBN: 0387886141, 0387886958 | PDF | 274 pages | 4 MB
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)(Repost)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) by Bing Liu
English | 2007 | ISBN: 3540378812 | 552 Pages | PDF | 5.66 MB

Data Mining Techniques for the Life Sciences  eBooks & eLearning

Posted by ChrisRedfield at Jan. 22, 2017
Data Mining Techniques for the Life Sciences

Oliviero Carugo, Frank Eisenhaber - Data Mining Techniques for the Life Sciences
Published: 2009-12-14 | ISBN: 1603272402, 1493956884 | PDF | 407 pages | 7.65 MB

Descriptive Data Mining  eBooks & eLearning

Posted by naag at Jan. 11, 2017
Descriptive Data Mining

Descriptive Data Mining (Computational Risk Management) by David L. Olson
English | 18 Jan. 2017 | ISBN: 9811033390 | 116 Pages | Epub | 8.48 MB

Recent Advances on Soft Computing and Data Mining  eBooks & eLearning

Posted by Underaglassmoon at Jan. 10, 2017
Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining
Springer | English | February 2017 | ISBN-10: 331951279X | 649 pages | PDF | 53.86 mb

Editors: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (Eds.)
The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings

Data Mining and Computational Intelligence  eBooks & eLearning

Posted by step778 at Jan. 9, 2017
Data Mining and Computational Intelligence

Abraham Kandel, Mark Last, Horst Bunke, "Data Mining and Computational Intelligence"
2001 | pages: 364 | ISBN: 3790824844 | PDF | 16,1 mb
Graphical Models: Representations for Learning, Reasoning and Data Mining (2nd Edition) (Repost)

Christian Borgelt, Matthias Steinbrecher, "Graphical Models: Representations for Learning, Reasoning and Data Mining (2nd Edition)"
2009 | ISBN-10: 047072210X | 404 pages | PDF | 2 MB

Data Mining: A Tutorial-Based Primer  eBooks & eLearning

Posted by AlenMiler at Jan. 7, 2017
Data Mining: A Tutorial-Based Primer

Data Mining, Second Edition: A Tutorial-Based Primer (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Richard J. Roiger
English | 21 Dec. 2016 | ISBN: 1498763979 | 512 Pages | AZW3/MOBI/EPUB/PDF (conv) | 97.73 MB

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results.