ARLINGTON, Va., June 8, 2016 /PRNewswire/ -- This week the first edition of Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) was published by Wiley. Peter Bruce, the President and Founder of Statistics.com, is one of the authors, and the book serves as the anchor for the Statistics.com Predictive Analytics and Forecasting courses which were developed by Galit Shmueli, the lead author.
This book is based on the authors' successful Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner(R), which first came out in 2006 and is the leading data mining text in the business school and business analyst field. The third edition of the XLMiner book came out in April, and readers may use either the Excel-based XLMiner or the web-based cloud version of XLMiner (both from Frontline Systems). It has been translated into Korean, and a South Asian English edition is also available.
JMP, a widely used statistical software tool, was created by SAS in 1989 to empower scientists and engineers to explore data visually. The JMP edition of the text covers data visualization, dimension reduction techniques, clustering, linear and logistic regression, classification and regression trees, discriminant analysis, naive Bayes, neural networks, uplift modeling, ensemble models, and time series forecasting. The lead author is Galit Shmueli, Distinguished Professor at National Tsing Hua University's Institute of Service Science (Taiwan). The co-authors are Peter Bruce, Founder and President of the Institute for Statistics Education at Statistics.com, Mia Stephens, Academic Ambassador at the JMP Division of SAS Institute, and Nitin Patel, Chairman and co-Founder of Cytel, Inc., the leader in the advanced design and analysis of clinical trials.
Both books are targeted at the business analyst who is not deep into programming, and who wants to learn about the business possibilities and challenges that can be tackled with data mining. From the start, the book was intended to provide a hands-on guide to data mining methods, in particular the focus on prediction, with realistic data, a rich group of datasets, and an invitation to the reader to get his or her hands dirty.
About the authors:
Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University's Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks, and book chapters, including Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition, also published by Wiley. For more information, visit http://www.galitshmueli.com/.
Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective and co-author of Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner ®, Third Edition, both published by Wiley, and also the co-author of Statistics for Data Scientists: 50 Essential Concepts (Forthcoming, O'Reilly). For my information, visit http://www.statistics.com/mr-peter-bruce.
Mia Stephens is Academic Ambassador at JMP®, a division of SAS Institute. Prior to joining SAS, she was an adjunct professor of statistics at the University of New Hampshire and a founding member of the North Haven Group LLC, a statistical training and consulting company. She is the co-author of three other books, including Visual Six Sigma: Making Data Analysis Lean, Second Edition, also published by Wiley. For more information, visit http://www.jmp.com/en_us/bios/stephens-mia.html.
Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad, for 15 years. He is co-author of Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition, also published by Wiley. For more information, visit http://www.cytel.com/about-us/management-team.
SOURCE The Institute for Statistics Education at Statistics.com