Data Mining for Business Analytics: Concepts, Techniques, by Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel

By Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel

Data Mining for enterprise Analytics: ideas, thoughts, and purposes with JMP Pro® provides an  utilized and interactive method of facts mining.

Featuring hands-on functions with JMP Pro®, a statistical package deal from the SAS Institute, the book
uses enticing, real-world examples to construct a theoretical and functional realizing of key facts mining tools, particularly predictive types for class and prediction. subject matters comprise information visualization, size aid recommendations, clustering, linear and logistic regression, category and regression timber, discriminant research, naive Bayes, neural networks, uplift modeling, ensemble types, and time sequence forecasting.

Data Mining for enterprise Analytics: options, innovations, and functions with JMP professional® additionally includes:

  • Detailed summaries that provide an overview of key themes firstly of every chapter
  • End-of-chapter examples and workouts that permit readers to extend their comprehension of the offered material
  • Data-rich case reviews to demonstrate quite a few functions of knowledge mining techniques
  • A significant other web site with over dozen info units, routines and case learn ideas, and slides for instructors

Data Mining for enterprise Analytics: ideas, recommendations, and functions with JMP Pro® is a wonderful textbook for complicated undergraduate and graduate-level classes on facts mining, predictive analytics, and enterprise analytics. The ebook can also be a exclusive source for info scientists, analysts, researchers, and practitioners operating with analytics within the fields of administration, finance, advertising, info expertise, healthcare, schooling, and the other data-rich field.

Galit Shmueli, PhD, is extraordinary Professor at nationwide Tsing Hua University’s Institute of provider technological know-how. She has designed and steered information mining classes seeing that 2004 at collage of Maryland,, Indian tuition of industrial, and nationwide Tsing Hua college, Taiwan. Professor Shmueli is understood for her examine and instructing in enterprise analytics, with a spotlight on statistical and knowledge mining tools in info platforms and healthcare. She has authored over 70 magazine articles, books, textbooks, and ebook chapters, together with facts Mining for enterprise Analytics: recommendations, thoughts, and purposes in XLMiner®, 3rd version, additionally released through Wiley.

Peter C. Bruce is President and founding father of the Institute for facts schooling at He has written a number of magazine articles and is the developer of Resampling Stats software program. he's the writer of Introductory information and Analytics: A Resampling standpoint and co-author of knowledge Mining for company Analytics: thoughts, ideas, and functions in XLMiner ®, 3rd version, either released by means of Wiley.

Mia Stephens is educational Ambassador at JMP®, a department of SAS Institute. sooner than becoming a member of SAS, she used to be an accessory professor of records on the college of recent Hampshire and a founding member of the North Haven crew LLC, a statistical education and consulting corporation. She is the co-author of 3 different books, together with visible Six Sigma: Making information research Lean, moment variation, additionally released by way of Wiley.

Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., established in Cambridge, Massachusetts. A Fellow of the yankee Statistical organization, Dr. Patel has additionally served as a vacationing Professor on the Massachusetts Institute of know-how and at Harvard college. he's a Fellow of the pc Society of India and was once a professor on the Indian Institute of administration, Ahmedabad, for 15 years. he's co-author of information Mining for enterprise Analytics: innovations, ideas, and functions in XLMiner®, 3rd variation, additionally released by means of Wiley.

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