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Data Mining for Business Analytics - Concepts, Techniques, and Applications with XLMiner (R), 3e (Hardcover, 3rd Edition)
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Data Mining for Business Analytics - Concepts, Techniques, and Applications with XLMiner (R), 3e (Hardcover, 3rd Edition)
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Data Mining for Business Analytics: Concepts, Techniques, and
Applications in XLMiner(R), Third Edition presents an applied
approach to data mining and predictive analytics with clear
exposition, hands-on exercises, and real-life case studies. Readers
will work with all of the standard data mining methods using the
Microsoft(R) Office Excel(R) add-in XLMiner(R) to develop
predictive models and learn how to obtain business value from Big
Data. Featuring updated topical coverage on text mining, social
network analysis, collaborative filtering, ensemble methods, uplift
modeling and more, the Third Edition also includes: * Real-world
examples to build a theoretical and practical understanding of key
data mining methods * End-of-chapter exercises that help readers
better understand the presented material * Data-rich case studies
to illustrate various applications of data mining techniques *
Completely new chapters on social network analysis and text mining
* A companion site with additional data sets, instructors material
that include solutions to exercises and case studies, and Microsoft
PowerPoint(R) slides * Free 140-day license to use XLMiner for
Education software Data Mining for Business Analytics: Concepts,
Techniques, and Applications in XLMiner(R), Third Edition is an
ideal textbook for upper-undergraduate and graduate-level courses
as well as professional programs on data mining, predictive
modeling, and Big Data analytics. The new edition is also a unique
reference for analysts, researchers, and practitioners working with
predictive analytics in the fields of business, finance, marketing,
computer science, and information technology. Praise for the Second
Edition " full of vivid and thought-provoking anecdotes...needs to
be read by anyone with a serious interest in research and
marketing." Research Magazine "Shmueli et al. have done a wonderful
job in presenting the field of data mining - a welcome addition to
the literature." ComputingReviews.com "Excellent choice for
business analysts...The book is a perfect fit for its intended
audience." Keith McCormick, Consultant and Author of SPSS
Statistics For Dummies, Third Edition and SPSS Statistics for Data
Analysis and Visualization 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, The 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. 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, also published by Wiley. 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.
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