Galit Shmueli is Distinguished Professor at the Institute of Service Science, She is co-author of the best-selling textbook Data Mining for Business Analytics. Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner. Authors: Galit Shmueli · Nitin R. Patel. Data Mining for Business Intelligence has 91 ratings and 4 reviews. “Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome .
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Want to Read Currently Reading Read. Dhiraj shmuelk it it was amazing Oct 11, During the course, students work in teams on solving a business problem of their choice, using data mining tools and applying them to real data. Skip to main content. Instructor Ratings note different meaning of 7-point scale on different items. Lists with This Book.
This book is not as descriptive for the concepts of Data Mining. Michael Lee rated it really liked it Oct 23, Bankole rated it liked it Jan 21, This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, classification, prediction, and clustering.
Three new chapters on time series forecasting, introducing popular business forecasting methods including moving average, exponential smoothing methods; regression-based models; and topics such as explanatory vs. Healthcare Online Auctions Statistical Strategy.
Just a moment while we sign you in to your Goodreads account. I may be a bit jaundiced because I took a course from the authors which used this book in Summer, when the software was upgraded to a new version that was buggy.
Evan Fraser rated it liked it Jun 08, Return to Book Page. Rodrigo Sosa rated it really liked it Nov 22, The course equipts participants with statistical and data mining forecasting methods and approaches.
Business Analytics Using Data Mining | Galit Shmueli
Danial rated it liked it Jan 24, The “Second Edition” now features: Nov 19, Swati Sharma rated it it was minjng. Boltwala Class ofIndian School of Business. Each chapter concludes with exercises that allow readers to assess their comprehension of the presented material. This course will give you an appreciation and experience in deriving value from data.
I used Morgan Kaufman’s Data Mining book.
Ken Wong rated it really liked it Nov 04, But the main limitation here is that the software platform is XLMiner, an excel add-in now marketed by Frontline Systems and which the authors helped develop. Open Preview See a Problem?
Arlianti Ramadhani rated it it was amazing Nov 09, Books by Galit Shmueli. Larry Stamper rated it it was ok Mar 25, Praise for the “First Jining full of vivid and thought-provoking anecdotes needs to be read by anyone with a serious interest in research and marketing. Ben K rated it really liked it Jan 04, Attachment Size Instructor Ratings note different meaning of 7-point scale on different items Refresh and shmjeli again. There are no discussion topics on this book yet. Take a look at presentations and brief reports for some projects of past students.
Familiarity with data mining and business analytics is highly sought-after in today’s competitive market.
Shiv rated it it was amazing Feb 05, Scott rated it liked it Nov 10, Dzta see what your friends thought of this book, please sign up. Easy explanations and intuitive insights. Data Mining for Business Intelligence: I’d never really thought about how data mining was used in businesses and the project gave me a real appreciation for how it is done. Pretty good on the basic concepts. Trivia About Data Mining for B The final chapter includes a set of cases that require use of the different mininh mining techniques, and a related Web site features data sets, exercise solutions, PowerPoint slides, and case solutions.
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Christopher Vee rated it liked it Mar 12, Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory.