Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel With XLMiner

by Galit Shmueli, Nitin R. Patel, Peter C. Bruce

Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of DM techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples, now doubled in number in the second edition, are provided to motivate learning and understanding. This book helps readers understand the beneficial relationship that can be established between DM and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions. New topics include detailed coverage of visualization (enhanced by Spotfire subroutines) and time series forecasting, among a host of other subject matter.

Genres: Bisexual, Mathematics, Business

404 pages, Hardcover

First published December 11, 2006

Reviews

[Lisa · Rating 2 out of 5]

At this point, this book is well outdated because XLMiner is now the new Analytic Solver Data Mining Add-in for Excel 2016. This add-in does not perform as well as stand alone software, such as R (which is free).

The outline of intro concepts is nice for an overview of predictive models. I liked the light intro to neural network training models and affinity analysis had some good diagrams for unsupervised learning models.

I have at agree with another reviewer that this book is more streamlined for XLMiner only and does not have many other benefits otherwise.

[Mike Kruger · Rating 3 out of 5]

Pretty good on the basic concepts. 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. I may be a bit jaundiced because I took a course from the authors which used this book in Summer, 2014 when the software was upgraded to a new version that was buggy.

[Kathleen · Rating 2 out of 5]

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli (2006)

[박은정 Park · Rating 2 out of 5]

Though not rich in mathematics, I think it can be a great start for beginners in data mining. Easy explanations and intuitive insights.

[Swati Sharma · Rating 2 out of 5]

This book is not as descriptive for the concepts of Data Mining. I used Morgan Kaufman's Data Mining book.