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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This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing predictive models and techniques for describing and finding patterns in data.
There are no discussion topics on this book yet. Healthcare Online Auctions Statistical Strategy. Rodrigo Busindss rated it really liked it Nov 22, Christopher Vee fpr it liked it Mar 12, Danial rated it liked it Jan 24, Boltwala Class ofIndian School of Business.
Galit Shmueli | Data Mining for Business Analytics
Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Easy explanations and intuitive insights. Scott rated it liked it Nov 10, Each chapter concludes with exercises that allow readers to assess their comprehension of the presented material.
Kenneth Howrey rated it liked it Jun 07, Goodreads helps you keep track of books you want to read. Intelligehce with This Book.
To see what your friends thought of this book, please sign up. The “Second Edition” now features: Ken Wong rated it really liked it Nov 04, The course equipts participants with statistical and data mining forecasting methods and approaches.
Business Analytics Using Data Mining | Galit Shmueli
Nov 19, Swati Sharma rated it it was ok. Kelli Russell rated it really liked it Mar 04, Shmuei book is not yet featured on Listopia. Kasey Karr rated it really liked it Apr 11, BADM methods and approaches are highly synergistic. To ask other readers questions about Data Mining for Business Intelligenceplease sign up. Heather Dunnigan rated it really liked it Aug 02, Shiv rated it it was amazing Feb 05, Ben K rated it really liked it Jan 04, This course will give you an appreciation and experience busniess deriving value from data.
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. From clustering customers into market minong and finding the characteristics of frequent flyers to learning what items are purchased with other items, the authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, including classification, prediction, and affinity analysis as well as data reduction, exploration, and visualization.
Refresh and try again. Take a look at presentations and brief reports for some projects of past students.
Be the first to ask a question about Data Mining for Business Intelligence. Arlianti Ramadhani rated it it was amazing Nov 09, Want to Read saving….
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. Pretty good on the basic concepts. Michael Lee rated it really liked it Oct 23, Skip to main content. Though not rich in mathematics, I think it can be a great start for beginners in data mining.