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Data Mining and Business Analytics with R Hardcover – 28 Jun 2013


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Product details

  • Hardcover: 368 pages
  • Publisher: Wiley-Blackwell; 1 edition (28 Jun 2013)
  • Language: English
  • ISBN-10: 111844714X
  • ISBN-13: 978-1118447147
  • Product Dimensions: 16.3 x 2.3 x 24.2 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Bestsellers Rank: 557,768 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description

Review

“I first taught a Ph.D. level course in business applications of data mining 10 years ago.  I regularly search the web, looking for business–oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics.  I plan to use it.  Anyone who teaches such a class and is inclined toward R should consider this text.”  ( Journal of the American Statistical Association , 1 January 2014)

From the Back Cover

Showcases R's critical role in the world of business Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible robust computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents: A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools Illustrations of how to use the outlined concepts in real-world situations Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials Numerous exercises to help readers with computing skills and deepen their understanding of the material Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

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Most Helpful Customer Reviews

1 of 1 people found the following review helpful By R. P. Sedgwick VINE VOICE on 2 Nov 2013
Format: Hardcover Vine Customer Review of Free Product ( What's this? )
I am finding this book extremely useful. I am not using in for academic purposes, rather to improve some logit modelling I already do. I have only currently read only the chapters which are relevant to what I do but have picked up some good ideas just upon a first reading. I don't have any problem with data mining for instance so could happily ignore that. The more advanced chapters wait until I have completed the initial work.

The book is intimately bound with the "R" software which is free, and all the data sets and code in the book are available online. I am currently working my way through the examples in the book. I suspect I will get more out of the book with a more methodical approach understanding each step along the way than cherry picking a few bits and pieces that I can grasp without. It is very much a "hands on" book with worked examples using current available amd free to download software.

Unfortunately I have a deadline in which to review this book and there are many hours of work ahead of me before I can report the true benefit of the book to me. However it at this stage it looks like exactly what I want to improve and understand my models better.
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Format: Hardcover
As a business intelligence consultant I use this book often, and it has great ideas for further analysis of your data.
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By A. J. Gauld VINE VOICE on 15 Jan 2014
Format: Hardcover Vine Customer Review of Free Product ( What's this? )
This feels like a college text book and if you aren't doing the course it is a struggle. The writing style is dense and the material assumes a lot of knowledge of the field. Unfortunately my level of stats experience means I'm struggling. For an expert it may well be a great book, for me it was a step too far. I'm off to find R for Dummies!
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By r0ng0r0ng0 VINE VOICE on 28 Dec 2013
Format: Hardcover Vine Customer Review of Free Product ( What's this? )
There are many groups of people who might choose to be interested in R Statistical software for different reasons: statisticians, information designers, business analysts, students and specialist researchers. My own interest was sparked by a search for a way of displaying charts in a much more flexible way than was possible with Excel.

R fans should consider carefully whether Johannes Ledolter's book is worth the cost and shelf space versus other printed and online sources. The good news is that it is full of illustrated case studies and R code samples which could help readers see the potential of the tool and which could serve as a starting point if they happen to be working on a similar piece of analysis. Those who are looking for an explanation that that does not assume a pre-existing knowledge of the statistical techniques used - or those who are interested in the visual questions of how best to lay out the data - will be disappointed however. The text is a rather meandering in nature, there is never really a "basics" section and some of the examples are neither beautiful or clear. It is not a book for even the geekiest person's coffee table.

The book appears to be most clearly aimed at readers studying for quantitative modules of an MBA that involve data mining techniques. For them it could be a good choice. Others might want to look at alternative books and tutorials
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By Reader on 15 Dec 2013
Format: Hardcover Vine Customer Review of Free Product ( What's this? )
I'm still working through this book but have found it to assume prior knowledge of R. If you don't have any it night not give enough information to be useful. I think it would have been helpful to cover data gathering to some degree but this is skipped with the assumption that sufficient data is available. There are some useful sections and hopefully the rest will be as helpful.
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