Real World Data Mining: Applied Business Analytics And Decision Making

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3rd Edition

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner by Galit Shmueli, Peter C. Bruce, Nitin R. Patel
2016 | ISBN: 1118729277 | English | 552 pages | PDF | 156 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

Business Analytics for Decision Making  

Posted by AlenMiler at Jan. 12, 2016
Business Analytics for Decision Making

Business Analytics for Decision Making by Steven Orla Kimbrough
English | Jan. 5, 2016 | ISBN: 1482221764 | 330 Pages | PDF (True) | 10.27 MB

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level.

Real World Data Mining Applications (Repost)  

Posted by tukotikko at Aug. 29, 2015
Real World Data Mining Applications (Repost)

Real World Data Mining Applications By Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock
2015 | 436 Pages | ISBN: 3319078119 | PDF | 7 MB

Real World Data Mining Applications  

Posted by happy4all at July 19, 2015
Real World Data Mining Applications

Real World Data Mining Applications By Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock
2015 | 436 Pages | ISBN: 3319078119 | PDF | 10 MB
Getting Started with Business Analytics: Insightful Decision-Making

David Roi Hardoon, "Getting Started with Business Analytics: Insightful Decision-Making"
English | ISBN: 1439896534 | 2014 | 190 pages | PDF | 4 MB
Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving (Repost)

Visual and Spatial Analysis: Advances in Data Mining, Reasoning, and Problem Solving
Publisher: Springer | 2004 | ISBN: 140202939X | 576 pages | PDF | 64,6 MB

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making.
Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining (repost)

Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining by Tom Soukup
English | 16 May 2002 | ISBN: 0471149993 | 424 Pages | PDF | 20 MB

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non–technical audience to help them solve common business problems.
Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

Daniel S. Putler, Robert E. Krider, "Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R"
2012 | ISBN-10: 1466503963 | 315 pages | PDF | 7 MB
Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics (FT Press Analytics) by Nathaniel Lin
English | December 29, 2014 | ISBN: 0133481506 | 320 Pages | EPUB/MOBI/AZW3/PDF (Converted) | 15 MB

Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams.