Data Mining for Business Analytics

In Data Mining for Business Analytics by Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, readers will learn how to use R (a free and open-source software) to solve business challenges and possibilities by using a number of popular data mining algorithms.


This is the sixth edition of this popular text, and the first to use R. It includes algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining, and network analysis that are both statistical and machine learning in nature. It also contains:

  • Inbal Yahav and Casey Lichtendahl, two new co-authors, contribute expertise in teaching business analytics courses using R as well as data mining consultancy experience in business and government.
  • Updates and new material based on input from teachers and students teaching MBA, undergraduate, diploma, and executive courses.
  • More than a dozen case studies demonstrating the use of the data mining techniques provided.
  • End-of-chapter tasks that assist readers in assessing and expanding their understanding and competency of the subject offered
  • A companion website including over two dozen data sets as well as instructional materials such as exercise solutions, PowerPoint slides, and case solutions. www.dataminingbook.com


Among the best books on business intelligence tools, Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an excellent textbook for graduate and upper-undergraduate data mining, predictive analytics, and business analytics courses. This updated version is also a great resource for analysts, researchers, and practitioners that engage with quantitative approaches in business, finance, marketing, computer science, and information technology.


Author: Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl

Link to buy: https://www.amazon.com/Data-Mining-Business-Analytics-Applications/dp/1118879368/

Ratings: 4.4 out of 5 stars (from 141 reviews)

Best Sellers Rank: #61,972 in Books

#11 in Econometrics & Statistics

#15 in Business Intelligence Tools

#45 in Information Management (Books)

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