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I am so happy I decided to buy this book. From the first page it is clear the author writes in excellent, approachable style -- there is no single place where I could find the author shows off his knowledge, nope, Graham Williams really teaches so the reader could understand. He allows to make friends with data mining in painless way; I appreciate the fact the first approach to each technique is done via GUI frontend (Rattle), but then the internals of R are explained -- the name of the package is given, how Rattle calls this or that function behind the scene, and also how to interpret the outcome, so in the end it is not only about the clicking with mouse.
I find this book very valuable for two reasons -- the comfort it provides (scientific book, and you want to read more and more), and it helps you focus on modeling the data, tweaking, etc (big plus for emphasis on training, validation and testing the models). However it is introductory book (I just can wish every introductory book was so informative and friendly). It is not related to the topic of data mining, but I noticed with pleasure the clear voice for open implementations of algorithms -- I can only concur that public reviews and collaboration allow to move things forward in faster pace.
If you would like to learn by example what the data mining is, how to apply, compare various algorithms this is the book for you. If you already know that and you would like to translate your knowledge to R, to some degree I would also recommend this book. This is not a book for learning R per se, so if you don't know the R it won't teach you that (rather make you a bit familiar), but don't worry, you can stick with GUI.
The book is not perfect though. From time to time I missed explanation of the outcomes presented in the book -- the author does not have to spell out for me that I am looking at number "0.74", but the tip what does it mean is valuable (i.e. there are such explanations, but not in every desired place, at least by me). Second -- I would love to see more discussion about tough cases and how to handle them. Even such extremes, that surprised the author himself. Mistakes he did, the graphs that led him in the wrong direction, and so on. Such issues here are just lightly touched, not enough for my taste.
The biggest complain is not about the content itself, but the way Springer published this book. OK, it is in color, I love it, and I am grateful. But thanks to shiny paper and weird binding, not only I couldn't put this book flat but with every page turn I had to maneuver to kill the glare. In this regard, I can say it was unpleasant experience, because of arm fatigue (book is heavy!) and all the trouble.
Don't let those problems detract your from paying attention to this book -- if you are curious about data mining, or interested in it, and you are not an expert already -- solid buy!
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Customers say
Customers find the book provides a great introduction to data mining and is very helpful for learning R. The Rattle interface receives positive feedback, with one customer describing it as an amazing invention. The learning pace receives mixed reactions, with some finding it suitable for beginners while others note it has a steep learning curve.
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12 customers mention data mining, 10 positive, 2 negative
Excellent book on Rattle and R with lots of examples.Read more
...(scientific book, and you want to read more and more)...Read more
Very helpful, detailed, and simple approach to master data mining with Rattle. The book was written by Sr....Read more
...Rattle is such amazing invention and this book does a great job with practical examples and beautiful color plots....Read more
5 customers mention rattle interface, 4 positive, 1 negative
...a great introduction to both the topic of data mining and using the Rattle interface, which is a GUI built around typical data mining functions for...Read more
...I was this excited to read a book about my career, but Rattle is such amazing invention and this book does a great job with practical examples and...Read more
Very helpful start to R. The Rattle interface is easy, intuitive and the ability to cut and past from its log to the R console is great.Read more
...This needs to be a $2 book. Rattle is not relevant anymore.Read more
6 customers mention learning pace, 3 positive, 3 negative
Great how-to for data mining. Subtable for beginners.Read more
...Stats with the same data and example throughout. Bad: Beginner book. Jumps around on concepts. Very outdated at this point....Read more
...R can be very tricky to learn, but this book makes it seem doable, and fun!Read more
...But as a programming language, it has a steep learning curve, at least steeper than many of the more traditional GUI-based tools for quantitative...Read more
Top reviews from the United States
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Top reviews from other countries
- Donal MacKernanReviewed in the United Kingdom on October 30, 2013
Great hands on book - but very skimpy from a theoretical perspective
Format: PaperbackVerified Purchase -
Ana María Bisbé YorkReviewed in Spain on August 30, 2017
Excelente libro para trabajo con Rattle
Format: PaperbackVerified Purchase - RoyalReviewed in the United Kingdom on May 14, 2015
Book is not great
Format: PaperbackVerified Purchase - Mark HodnettReviewed in the United Kingdom on April 9, 2013
Great book for people new to R
Format: PaperbackVerified Purchase
