Data Mining And Business Analytics With R

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
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 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.
Decoding Data Mining and ETL techniques with MS Excel 2013

Decoding Data Mining and ETL techniques with MS Excel 2013
WEBRip | MP4/AVC, ~671 kb/s | 1280 x 720 | English: AAC, 64.5 kb/s (2 ch), 44.1 KHz | 579 MB
Genre: Office Productivity / Microsoft | Language: English | +Project Files

This course explore Data Mining techniques using Power BI tools in Microsoft Excel 2013

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 Intelligence: A Guide to Productivity

Stephan Kudyba, Richard Hoptroff, "Data Mining and Business Intelligence: A Guide to Productivity"
2011 | ISBN: 1930708033 | 180 pages | EPUB | 0,7 MB
Data Mining and Business Intelligence: a guide to productivity

Instant Info Riches
Publisher: IGI Global | ISBN-10 : 1930708033 | edition 2001 | PDF | 180 pages | 1.25 mb

Data Mining and Business Intelligence: A Guide to Productivity provides an overview of accumulation defence profession and how it is practical in a playing environment. It describes the same accumulation defence methodologies that are utilised to cipher a difference of playing problems, which compound firm-level efficiency in a inferior technical, more managerial style. The aggregation incorporates the accumulation defence impact into the spectrum of unessential technologies that unitedly comprise joint aggregation systems that encourage playing intelligence. Business info involves the proliferation of value-added aggregation throughout a presented project finished the ingest of different applications that promotes efficiency for the firm.
Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics

Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
Springer | Statistics | December 12, 2016 | ISBN-10: 3319425676 | 359 pages | pdf | 6.52 mb

Editors: Lin, J., Wang, B., Hu, X., Chen, K., Liu, R. (Eds.)
Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
Focuses on statistical applications from clinical trials, biomarker analysis, and personalized medicine to applications in finance and business analytics
A unique selection of papers from broad and multi-disciplinary critical hot topics - from academic, government, and industry perspectives - to appeal to a wide variety of applied research interests
All papers feature original, peer-reviewed content