Data Mining And Learning Analytics

Data Mining and Predictive Analytics  

Posted by nebulae at Nov. 5, 2015
Data Mining and Predictive Analytics

Daniel T. Larose, Data Mining and Predictive Analytics""
English | ISBN: 1118116194 | 2015 | 824 pages | True PDF | 11 MB
Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)

Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining) by Daniel T. Larose
English | Mar 16, 2015 | ISBN: 1118116194 | 824 Pages | AZW3/EPUB/PDF (conv) | 103 MB

Learn methods of data analysis and their application toreal-world data sets This updated second edition serves as an introduction to datamining methods and models, including association rules, clustering,neural networks, logistic regression, and multivariate analysis.

Data Mining and Business Analytics with R (Repost)  eBooks & eLearning

Posted by Grev27 at July 6, 2014
Data Mining and Business Analytics with R (Repost)

Johannes Ledolter, "Data Mining and Business Analytics with R"
English | ISBN: 111844714X | 2013 | PDF | 368 pages | 32 MB

Data Mining and Business Analytics with R  

Posted by roxul at July 7, 2013
Data Mining and Business Analytics with R

Johannes Ledolter, "Data Mining and Business Analytics with R"
English | ISBN: 111844714X | 2013 | 368 pages | PDF | 30 MB
Big Data and Learning Analytics in Higher Education: Current Theory and Practice

Ben Kei Daniel, "Big Data and Learning Analytics in Higher Education: Current Theory and Practice"
English | ISBN: 331906519X | 2016 | 294 pages | PDF | 16 MB
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro

Galit Shmueli, Peter C. Bruce, "Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro"
2016 | ISBN-10: 1118877438 | 464 pages | PDF | 128 MB

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques  eBooks & eLearning

Posted by MoneyRich at Aug. 2, 2016
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou
English | 28 Dec. 2009 | ISBN: 1441941738 | 796 Pages | PDF | 43 MB

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.
Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing

Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing (Iste) by Frédéric Magoules, Hai-Xiang Zhao
2016 | ISBN: 1848214227 | English | 186 pages | PDF | 2 MB

Data Mining And Knowledge Discovery With Evolutionary Algorithm  eBooks & eLearning

Posted by MoneyRich at April 5, 2016
Data Mining And Knowledge Discovery With Evolutionary Algorithm

Data Mining And Knowledge Discovery With Evolutionary Algorithm by Alex A. Freitas
English | 22 Mar. 2012 | ISBN: 3642077633 | 280 Pages | PDF | 5 MB

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data.

Data Mining and Knowledge Discovery for Process Monitoring and Control  eBooks & eLearning

Posted by MoneyRich at April 5, 2016
Data Mining and Knowledge Discovery for Process Monitoring and Control

Data Mining and Knowledge Discovery for Process Monitoring and Control by Xue Z. Wang
English | 15 Oct. 1999 | ISBN: 1447111370 | 272 Pages | PDF | 8 MB

Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support.