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Data Mining for Business Analytics : Concepts, Techniques, and Ap

Free US Delivery | ISBN:1118729277
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Used book that is in clean, average condition without any missing pages. 100% Money-Back Guarantee.”
Book Title
Data Mining for Business Analytics : Concepts, Techniques, and Ap
ISBN
9781118729274
Subject Area
Computers, Mathematics
Publication Name
Data Mining for Business Analytics : concepts, Techniques, and Applications with Xlminer
Publisher
Wiley & Sons, Incorporated, John
Item Length
10.1 in
Subject
Probability & Statistics / General, Desktop Applications / Spreadsheets, Databases / Data Mining, Enterprise Applications / General
Publication Year
2016
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.4 in
Author
Nitin R. Patel, Peter C. Bruce, Galit Shmueli
Item Weight
45.4 Oz
Item Width
7.3 in
Number of Pages
560 Pages

About this product

Product Information

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 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(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.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118729277
ISBN-13
9781118729274
eBay Product ID (ePID)
215362239

Product Key Features

Number of Pages
560 Pages
Language
English
Publication Name
Data Mining for Business Analytics : concepts, Techniques, and Applications with Xlminer
Publication Year
2016
Subject
Probability & Statistics / General, Desktop Applications / Spreadsheets, Databases / Data Mining, Enterprise Applications / General
Type
Textbook
Subject Area
Computers, Mathematics
Author
Nitin R. Patel, Peter C. Bruce, Galit Shmueli
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
45.4 Oz
Item Length
10.1 in
Item Width
7.3 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2015-040496
Illustrated
Yes
Lc Classification Number
Hf5548.2.S44843 2016
Copyright Date
2016

Item description from the seller

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