<Embed>
  • List Price: $140.50
  • Save: $112.42 (80%)
& FREE Shipping
In Stock.
Rented from Amazon Warehouse
Fulfilled by Amazon
Due Date: May 26, 2021 Rental Details
  • FREE return shipping at the end of the semester.
  • Access codes and supplements are not guaranteed with rentals.
Arrives: Saturday, Dec 12 Details
Fastest delivery: Thursday, Dec 10 Details
List Price: $140.50
Save: $40.51 (29%)
& FREE Shipping. Details
Arrives: Saturday, Dec 12 Details
Fastest delivery: Thursday, Dec 10 Details
In Stock.
As an alternative, the Kindle eBook is available now and can be read on any device with the free Kindle app.
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Ships from Amazon.com
Sold by Amazon.com
Ships from
Amazon.com

Sold by
Amazon.com

Return policy: Returnable until Jan 31, 2021
For the 2020 holiday season, returnable items shipped between October 1 and December 31 can be returned until January 31, 2021.
Data Mining for Business ... has been added to your Cart
& FREE Shipping. Details
Used: Acceptable | Details
Sold by RentU
Condition: Used: Acceptable
Comment: Fast shipping from Amazon! Qualifies for Prime Shipping and FREE standard shipping for orders over $35. Overnight, 2 day and International shipping available! Excellent Customer Service.. May not include supplements such as CD, access code or DVD.

Other Sellers on Amazon
$97.44
+ Free Shipping
Sold by: Book Depository US
$93.47
+ $3.98 shipping
Sold by: Pen & Parchment Media
$97.46
+ Free Shipping
Sold by: Mortuus Books
Have one to sell?
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Follow the Authors

Something went wrong. Please try your request again later.


Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner 3rd Edition

3.9 out of 5 stars 74 ratings

See all formats and editions Hide other formats and editions
Price
New from Used from
eTextbook
Hardcover
$99.99
$93.47 $46.68

Jesse Eisenberg's latest fiction
"When You Finish Saving the World" Listen free with trial
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Frequently bought together

  • Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
  • +
  • Practical Management Science
Total price: $200.58
Buy the selected items together

Special offers and product promotions


From the Publisher

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner, 3rd Edition Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro Data Mining for Business Analytics: Concepts, Techniques, and Applications in R
Product description Includes data-rich case studies and end-of-chapter exercises to build practical and theoretical understanding of key data mining methods and techniques. New chapters on social network analysis and text mining Includes detailed summaries outlining key topics, data-rich case studies to illustrate data mining applications, and end-of-chapter exercises Offers over two dozen case studies and includes innovative material on text analytics, recommender systems, social network analysis, getting data from a database into the analytics process, and scoring and deploying the results of an analysis to a database. Includes separate chapters that each treat k-nearest neighbors and Naïve Bayes methods.
Audience level Intermediate/Advanced Intermediate/Advanced Intermediate/Advanced
Suitable for use in higher education courses?
Professional application Reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology Reference for data scientists, analysts, researchers, and practitioners working with analytics in the fields of management, finance, marketing, information technology, healthcare, education, and any other data-rich field Reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology who have a special interest in R.
Related software XLMiner (Add-in to Microsoft Office Excel and part of Analytic Solver) JMP Pro (Statistical package from the SAS Institute) R (Freely available for download)
Trial license included with text
Authors Galit Shmueli, Peter C. Bruce, Nitin R. Patel Galit Shmueli, Peter C. Bruce, Mia L. Stephens, Nitin R. Patel Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Casey Lichtendahl
Content length 552 pages 480 pages 448 pages

Editorial Reviews

From the Inside Flap

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

"…extremely well organized, clearly written and introduces all of the basic ideas quite well." 

– Robert L. Phillips, Professor of Professional Practice, Columbia Business School

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Microsoft® Office Excel® with 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

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Microsoft® Office Excel® with 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.

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.

From the Back Cover

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

"…extremely well organized, clearly written and introduces all of the basic ideas quite well." 

– Robert L. Phillips, Professor of Professional Practice, Columbia Business School

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Microsoft® Office Excel® with 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

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Microsoft® Office Excel® with 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.

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 details

  • Item Weight : 2.43 pounds
  • Hardcover : 560 pages
  • ISBN-10 : 1118729277
  • ISBN-13 : 978-1118729274
  • Dimensions : 7.3 x 1.3 x 10.3 inches
  • Publisher : Wiley; 3rd edition (April 18, 2016)
  • Language: : English
  • Customer Reviews:
    3.9 out of 5 stars 74 ratings

Customer reviews

3.9 out of 5 stars
3.9 out of 5
74 global ratings
How are ratings calculated?

Top reviews from the United States

Reviewed in the United States on February 24, 2020
Verified Purchase
3 people found this helpful
Comment Report abuse
Reviewed in the United States on September 8, 2018
Verified Purchase
6 people found this helpful
Comment Report abuse
Reviewed in the United States on December 11, 2017
Verified Purchase
7 people found this helpful
Comment Report abuse
Reviewed in the United States on September 17, 2017
Verified Purchase
One person found this helpful
Comment Report abuse
Reviewed in the United States on May 31, 2017
Verified Purchase
3 people found this helpful
Comment Report abuse
Reviewed in the United States on May 27, 2018
Verified Purchase
One person found this helpful
Comment Report abuse
Reviewed in the United States on April 15, 2018
Verified Purchase
Reviewed in the United States on June 26, 2017
Verified Purchase
One person found this helpful
Comment Report abuse

Top reviews from other countries

Christian Hernández Becerra
5.0 out of 5 stars Excelente
Reviewed in Mexico on July 2, 2019
Verified Purchase
Pages with related products. See and discover other items: visualization data, data science, business forecasting, business statistics, statistics r