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Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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® Office Excel® add-in XLMiner® 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® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Xlminer: Concepts, Techniques, and Applications with XLMiner Ebooks, PDF, ePub

Download [PDF] Data Mining For Business Analytics Concepts ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

PDF Data Mining For Business Analytics Concepts Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Wiley Data Mining for Business Analytics: Concepts ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3rd Edition Galit Shmueli, Peter C. Bruce, Nitin R. Patel E-Book 978-1-118-72924-3 March 2020 $112.00 Hardcover 978-1-118-72927-4 April 2016 $140.50 DESCRIPTION

Download [PDF] Data Mining For Business Analytics Concepts ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, . data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data.

Data Mining for Business Analytics: Concepts, Techniques ~ FREE TO TRY FOR 30 DAYS. In order to Download Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner or Read Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner book, you need to create an account. Category: Book Binding: Hardcover Author: Bruce, Peter C., Patel, Nitin R.

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner, Third Editionpresents 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 Office Excel add-in XLMiner to develop predictive models and learn how to .

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Data Mining for Business Analytics / Concepts, Techniques ~ XLMiner, 1st Edition (2006) We're at a University Near You! This textbook is used at over 600 universities, colleges, and business schools around the world, including MIT Sloan, Yale School of Management, Caltech, UMD, Cornell, Duke, McGill, HKUST, ISB, KAIST and hundreds of others.

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, 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® Office Excel® add-in XLMiner® to develop predictive models and .

Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro - Ebook written by Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Nitin R. Patel. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Data Mining for Business Analytics: Concepts, Techniques, and .

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Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration . Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities.

9781118729274: Data Mining for Business Analytics ~ Book Description John Wiley & Sons Inc, United States, 2016. Hardback. Condition: New. 3rd Edition. Language: English. Brand new Book. 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.

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Data Mining for Business Analytics: Concepts, Techniques ~ Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, Edition 3 - Ebook written by Galit Shmueli, Peter C. Bruce, Nitin R. Patel. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Data Mining for Business Analytics: Concepts, Techniques, and Applications .

Data Mining for Business Analytics: Concepts, Techniques ~ 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.

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