By Galit Shmueli,Peter C. Bruce,Mia L. Stephens,Nitin R. Patel
Data Mining for company Analytics: ideas, innovations, and purposes with JMP Pro® provides an utilized and interactive method of info mining.
Featuring hands-on purposes with JMP Pro®, a statistical package deal from the SAS Institute, the book
uses attractive, real-world examples to construct a theoretical and functional knowing of key facts mining tools, specially predictive versions for class and prediction. subject matters contain info visualization, size aid suggestions, clustering, linear and logistic regression, class and regression bushes, discriminant research, naive Bayes, neural networks, uplift modeling, ensemble types, and time sequence forecasting.
Data Mining for company Analytics: thoughts, innovations, and purposes with JMP seasoned® additionally includes:
- Detailed summaries that provide an overview of key issues at the start of every chapter
- End-of-chapter examples and routines that let readers to extend their comprehension of the offered material
- Data-rich case stories to demonstrate numerous purposes of knowledge mining techniques
- A spouse web site with over dozen facts units, routines and case learn recommendations, and slides for instructors
Data Mining for company Analytics: ideas, thoughts, and functions with JMP Pro® is a superb textbook for complicated undergraduate and graduate-level classes on info mining, predictive analytics, and enterprise analytics. The e-book is usually a exclusive source for information scientists, analysts, researchers, and practitioners operating with analytics within the fields of administration, finance, advertising, details expertise, healthcare, schooling, and the other data-rich field.
Galit Shmueli, PhD, is exotic Professor at nationwide Tsing Hua University’s Institute of carrier technology. She has designed and advised information mining classes for the reason that 2004 at college of Maryland, Statistics.com, Indian college of industrial, and nationwide Tsing Hua collage, Taiwan. Professor Shmueli is understood for her learn and instructing in enterprise analytics, with a spotlight on statistical and knowledge mining tools in details platforms and healthcare. She has authored over 70 magazine articles, books, textbooks, and e-book chapters, together with facts Mining for enterprise Analytics: ideas, ideas, and purposes in XLMiner®, 3rd variation, additionally released via Wiley.
Peter C. Bruce is President and founding father of the Institute for facts 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 records and Analytics: A Resampling viewpoint and co-author of information Mining for company Analytics: ideas, recommendations, and purposes in XLMiner ®, 3rd version, either released by way of Wiley.
Mia Stephens is educational Ambassador at JMP®, a department of SAS Institute. ahead of becoming a member of SAS, she used to be an accessory professor of information on the collage of recent Hampshire and a founding member of the North Haven team LLC, a statistical education and consulting corporation. She is the co-author of 3 different books, together with visible Six Sigma: Making facts research Lean, moment variation, additionally released by means of Wiley.
Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., dependent in Cambridge, Massachusetts. A Fellow of the yank Statistical organization, Dr. Patel has additionally served as a vacationing Professor on the Massachusetts Institute of expertise 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 company Analytics: thoughts, recommendations, and purposes in XLMiner®, 3rd variation, additionally released through Wiley.
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