Matlab Data Mining

DATA MINING with MATLAB  eBooks & eLearning

Posted by naag at May 5, 2017
DATA MINING with MATLAB

DATA MINING with MATLAB by Marvin L.
English | 25 Oct. 2016 | ISBN: 1539712494 | 221 Pages | EPUB | 5.54 MB

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
Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics, 2nd edition (repost)

Dan A. Simovici, Chabane Djeraba, "Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics, 2nd edition"
English | ISBN: 1447164067 | 2014 | 831 pages | PDF | 5 MB

Data Mining For Dummies  eBooks & eLearning

Posted by IrGens at May 22, 2017
Data Mining For Dummies

Data Mining For Dummies by Meta S. Brown
English | September 29, 2014 | ISBN: 1118893174 | EPUB | 408 pages | 8.5 MB
Computational Intelligence in Data Mining: Proceedings of the International Conference on CIDM, 10-11 December 2016

Himansu Sekhar Behera), Durga Prasad Mohapatra, "Computational Intelligence in Data Mining: Proceedings of the International Conference on CIDM, 10-11 December 2016"
2017 | ISBN-10: 9811038732 | 847 pages | PDF | 26 MB

Regression, Data Mining, Text Mining, Forecasting using R  eBooks & eLearning

Posted by naag at May 20, 2017
Regression, Data Mining, Text Mining, Forecasting using R

Regression, Data Mining, Text Mining, Forecasting using R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 169 | 4.12 GB
Genre: eLearning | Language: English

Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R

Agent Intelligence Through Data Mining [Repost]  eBooks & eLearning

Posted by tanas.olesya at May 18, 2017
Agent Intelligence Through Data Mining [Repost]

Agent Intelligence Through Data Mining (Multiagent Systems, Artificial Societies, and Simulated Organizations) by Pericles A. Mitkas
Springer; 1st ed. 2005. Corr. 2nd printing 2006 edition | April 19, 2006 | English | ISBN: 0387243526 | 215 pages | PDF | 17 MB

This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity.

Transparent Data Mining for Big and Small Data  eBooks & eLearning

Posted by AvaxGenius at May 10, 2017
Transparent Data Mining for Big and Small Data

Transparent Data Mining for Big and Small Data By Tania Cerquitelli, Daniele Quercia, Frank Pasquale
English | EPUB | 2017 | 215 Pages | ISBN : 3319540238 | 1.8 MB

This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book.