By Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel
Data Mining for company Analytics: recommendations, suggestions, and purposes with JMP Pro® offers an utilized and interactive method of info 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 equipment, particularly predictive types for class and prediction. issues contain information visualization, size relief concepts, clustering, linear and logistic regression, type and regression bushes, discriminant research, naive Bayes, neural networks, uplift modeling, ensemble versions, and time sequence forecasting.
Data Mining for company Analytics: techniques, concepts, and purposes with JMP seasoned® additionally includes:
- Detailed summaries that provide an overview of key subject matters at first of every chapter
- End-of-chapter examples and workouts that permit readers to extend their comprehension of the offered material
- Data-rich case reports to demonstrate a number of functions of knowledge mining techniques
- A spouse web site with over dozen facts units, workouts and case learn recommendations, and slides for instructors
Data Mining for company Analytics: strategies, innovations, and functions with JMP Pro® is a superb textbook for complex undergraduate and graduate-level classes on facts mining, predictive analytics, and company analytics. The publication is additionally a exclusive source for facts scientists, analysts, researchers, and practitioners operating with analytics within the fields of administration, finance, advertising, details know-how, 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 recommended information mining classes considering 2004 at college of Maryland, Statistics.com, Indian university of commercial, and nationwide Tsing Hua collage, Taiwan. Professor Shmueli is understood for her learn and educating in company analytics, with a spotlight on statistical and knowledge mining equipment in info platforms and healthcare. She has authored over 70 magazine articles, books, textbooks, and e-book chapters, together with information Mining for enterprise Analytics: recommendations, thoughts, and purposes in XLMiner®, 3rd variation, additionally released through Wiley.
Peter C. Bruce is President and founding father of the Institute for data schooling at www.statistics.com He has written a number of magazine articles and is the developer of Resampling Stats software program. he's the writer of Introductory facts and Analytics: A Resampling point of view and co-author of information Mining for enterprise Analytics: options, options, and functions in XLMiner ®, 3rd variation, either released via Wiley.
Mia Stephens is educational Ambassador at JMP®, a department of SAS Institute. sooner than becoming a member of SAS, she was once an accessory professor of statistics on the college of latest Hampshire and a founding member of the North Haven staff LLC, a statistical education and consulting corporation. She is the co-author of 3 different books, together with visible Six Sigma: Making info research Lean, moment version, additionally released by means 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 traveling Professor on the Massachusetts Institute of expertise and at Harvard collage. he's a Fellow of the pc Society of India and used to be a professor on the Indian Institute of administration, Ahmedabad, for 15 years. he's co-author of knowledge Mining for company Analytics: techniques, recommendations, and purposes in XLMiner®, 3rd version, additionally released via Wiley.
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Extra resources for Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro by Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel