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 with R: Go from Beginner to Advanced  eBooks & eLearning

Posted by naag at Feb. 19, 2017
Data Mining with R: Go from Beginner to Advanced

Data Mining with R: Go from Beginner to Advanced
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 12 Hours | Lec: 80 | 3.79 GB
Genre: eLearning | Language: English

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading

Kevin Davey, "Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)"
ISBN: 1118778987 | 2014 | EPUB | 288 pages | 4 MB

Classification and Data Mining (Repost)  eBooks & eLearning

Posted by AvaxGenius at Feb. 17, 2017
Classification and Data Mining (Repost)

Classification and Data Mining By Antonio Giusti, Gunter Ritter, Maurizio Vichi
English | PDF | 2013 | 291 Pages | ISBN : 3642288936 | 6.17 MB

​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods.
Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance [Repost]

Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba - Data Mining Techniques in Sensor Networks: Summarization, Interpolation and Surveillance
Published: 2013-09-19 | ISBN: 1447154533 | PDF | 105 pages | 3.43 MB

Data Mining Applications Using Artificial Adaptive Systems (repost)  eBooks & eLearning

Posted by roxul at Feb. 12, 2017
Data Mining Applications Using Artificial Adaptive Systems (repost)

William J. Tastle, "Data Mining Applications Using Artificial Adaptive Systems"
2013 | ISBN-10: 1461442222 | 275 pages | PDF | 6,5 MB

R Data Mining Projects  eBooks & eLearning

Posted by naag at Feb. 9, 2017
R Data Mining Projects

R Data Mining Projects
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 689 MB
Genre: eLearning | Language: English
Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications (Repost)

Oded Z Maimon, Lior Rokach, "Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications"
2005 | pages: 345 | ISBN: 9812560793 | PDF | 14,3 mb
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) by Piotr Hońko
English | 27 Feb. 2017 | ISBN: 3319527509 | 123 Pages | PDF | 1.48 MB

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.