Login       My Wishlist
  My Cart
$0.00 / 0 items
Translate This Blog
International Translation Network
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Business & Money   Economics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Super Savings Item! Save 40% on the Data Mining for Business Analytics: Concepts, Techniques, and Applications in R by Wiley at Translate This Blog. Hurry! Limited time offer. Offer valid only while supplies last. Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods,

Product Description

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.

This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes:

• Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government

• Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students

• More than a dozen case studies demonstrating applications for the data mining techniques described

• End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented

• A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.

“ This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.”

Gareth M. James,  University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

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, 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 publications including books.

Peter C. Bruce is President and Founder of the Institute for Statistics Education at 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 (Wiley) and co-author of Practical Statistics for Data Scientists: 50 Essential Concepts (O’Reilly).

Inbal Yahav, PhD, is Professor at the Graduate School of Business Administration at Bar-Ilan University, Israel. She teaches courses in social network analysis, advanced research methods, and software quality assurance. Dr. Yahav received her PhD in Operations Research and Data Mining from the University of Maryland, College Park.

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.

Kenneth C. Lichtendahl, Jr., PhD, is Associate Professor at the University of Virginia. He is the Eleanor F. and Phillip G. Rust Professor of Business Administration and teaches MBA courses in decision analysis, data analysis and optimization, and managerial quantitative analysis. He also teaches executive education courses in strategic analysis and decision-making, and managing the corporate aviation function.

Additional Information

Item Weight:1.47 pounds
Item Size:1.4 x 10.1 x 10.1 inches
Package Weight:2.51 pounds
Package Size:7.24 x 1.34 x 1.34 inches

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R by Wiley

Buy Now:
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R

Brand: Wiley
4.2 out of 5 stars with 27 reviews
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
You Save: 40%



View More In Economics.


Have questions about this item, or would like to inquire about a custom or bulk order?

If you have any questions about this product by Wiley, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers

ean: 9783658197353, isbn: 3658197358,
Based on a highly interdisciplinary theoretical framework, Tobias Schroedler provides a comprehensive picture of the value of language skills within the Irish economy. The author manages to present and merge theories from economics, business studies,...

sku: 9780195128956, mpn: numerous line drawings and tables, ean: 9780195128956, isbn: 0195128958,
Game-theoretic reasoning pervades economic theory and is used widely in other social and behavioral sciences. An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understa...

mpn: black & white illustrations, ean: 9789264123243, isbn: 9264123245,
The rise of globalization makes language competencies more valuable, both at individual and societal levels. This book examines the links between globalization and the way we teach and learn languages. It begins by exploring why some individuals are ...

mpn: numerous line figures, ean: 9780195073409, isbn: 0195073401,
Many instructors of microeconomic theory have been waiting for a text that provides balanced and in-depth analysis of the essentials of microeconomics. Masterfully combining the results of years of teaching microeconomics at Harvard University, Andre...

ean: 9780300062410, isbn: 0300062419,
At every level of government, environmental regulation is under siege. This study traces its source to the competing characterizations of regulatory legitimacy that have accompanied the growth of the American state, and identifies three distinct lang...

Privacy Policy / Terms of Service
© 2018 - translateth.is. All Rights Reserved.