Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale
Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale__front
Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale_top

Description

Product Description

Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built. This is the first step in a journey to data mining and analytics. The book encourages the concept of programming by example and programming with data - more than just pushing data through tools, but learning to live and breathe the data, and sharing the experience so others can copy and build on what has gone before. It is accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics. Details of some of the more popular algorithms for data mining are very simply and, more importantly, clearly explained. Technology for transforming a database through data mining and machine learning into knowledge is now readily accessible.

Review

From the book reviews:

“The text does a great job of showing how to do each step using the data mining tool Rattle and related R concepts as appropriate. This makes it a great tool for someone who does not know much about R and wants to learn more about the powerful options available in R for data mining.” (Roger M. Sauter, Technometrics, Vol. 54 (3), August, 2012)

“This text is a manual for the impressive Rattle graphical user interface (GUI) for R, describing both the use of the GUI and the R code that is invoked to carry out the computations. … Data analysts … are likely to find Rattle a helpful tool that will allow them to quickly become productive with R. … There is extensive useful practical advice on data preparation and data manipulation. … is well suited for use in intermediate level courses on regression or classification.” (John H. Maindonald, International Statistical Review, Vol. 80 (1), 2012)

From the Back Cover

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms.

Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing.

The book covers data understanding, data preparation, data refinement, model building, model evaluation,  and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

About the Author

Dr Graham Williams is Senior Director of Analytics with the Australian Taxation Office, and previously Principal Computer Scientist for Data Mining with CSIRO. He is also Visiting Professor and Senior International Scientist with the Shenzhen Institutes of Advanced Analytics of the Chinese Academy of Sciences, Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Adjunct Professor, Australian National University. Graham regularly teaches data mining courses and is author of the freely available, open source data mining system, Rattle. He has been involved in many data mining projects for clients from government and industry over his long career. His research developments included ensemble learning (1980''s) and hot spots discovery (1990''s). He is actively involved in the international artificial intelligence and data mining research communities, particularly as chair of the Pacific Asia Knowledge Discovery and Data Mining conference series and founder and co-chair of the Australasian Data Mining conference series. Graham has editted a number of books and authored many academic and industry papers and reports. His current focus is on making data mining technology readily accessible, ensuring research, innovation and discovery are repeatable and available, and encouraging the free and open sharing of knowledge.

Product information

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Videos

Help others learn more about this product by uploading a video!
Upload video
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who bought this item also bought

Customer reviews

4.3 out of 54.3 out of 5
46 global ratings

Top reviews from the United States

Maciej Pilichowski
5.0 out of 5 starsVerified Purchase
Captivating journey through the data mining world
Reviewed in the United States on November 6, 2012
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... See more
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!
9 people found this helpful
Helpful
Report
XV123
2.0 out of 5 starsVerified Purchase
Outdated and overpriced
Reviewed in the United States on April 22, 2021
Good: color pictures. Easy to read plain language. Easy to follow - written in some logical sequence. Stats with the same data and example throughout. Bad: Beginner book. Jumps around on concepts. Very outdated at this point. I would never pay $65.00 for a... See more
Good: color pictures. Easy to read plain language. Easy to follow - written in some logical sequence. Stats with the same data and example throughout.

Bad: Beginner book. Jumps around on concepts. Very outdated at this point. I would never pay $65.00 for a book published 10 years ago. This needs to be a $2 book. Rattle is not relevant anymore.
Helpful
Report
Total Bro
3.0 out of 5 starsVerified Purchase
This book could cover a lot more topics
Reviewed in the United States on September 13, 2013
There''s not much detail in how the algorithms are working, or much else. It''s very basic ''click here.. now click here''. I was pretty disappointed in this book, although it does have some strengths in the over all presentation of the material, but it won''t make you much... See more
There''s not much detail in how the algorithms are working, or much else. It''s very basic ''click here.. now click here''. I was pretty disappointed in this book, although it does have some strengths in the over all presentation of the material, but it won''t make you much more than a beginner in the subject.
7 people found this helpful
Helpful
Report
Cannon Gray LLC
5.0 out of 5 starsVerified Purchase
Great concept
Reviewed in the United States on June 26, 2017
Will save a huge amount of time and many headaches.
One person found this helpful
Helpful
Report
Justin E fortier
5.0 out of 5 starsVerified Purchase
So much fun to read!
Reviewed in the United States on October 13, 2014
It''s been a while since 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 beautiful color plots. I can''t wait to start practicing some of the things I have learned from this... See more
It''s been a while since 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 beautiful color plots. I can''t wait to start practicing some of the things I have learned from this book. R can be very tricky to learn, but this book makes it seem doable, and fun!
3 people found this helpful
Helpful
Report
Lawrence Porter
4.0 out of 5 starsVerified Purchase
Four Stars
Reviewed in the United States on March 1, 2017
Had to get this for a class but learned a lot from the materials in this book
One person found this helpful
Helpful
Report
Brian Tvenstrup
5.0 out of 5 starsVerified Purchase
very readable introduction to data mining and R
Reviewed in the United States on February 9, 2013
R is becoming one of the leading tools of choice for serious data mining and quantitative analysis and is probably the most commonly used tool at the graduate school level today (it helps that it is open source and free!). But as a programming language, it has a steep... See more
R is becoming one of the leading tools of choice for serious data mining and quantitative analysis and is probably the most commonly used tool at the graduate school level today (it helps that it is open source and free!). 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 and statistical analysis like SPSS or even SAS. This book provides 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 the R language. If you work through this book in detail, you will learn a fair bit the basics of the R language as well as how to complete some basic data mining tasks inside the Rattle interface. For anyone looking to learn more about R, this would be a great introduction.
One person found this helpful
Helpful
Report
shi
5.0 out of 5 starsVerified Purchase
Five Stars
Reviewed in the United States on October 27, 2016
excellent book for data mining information
One person found this helpful
Helpful
Report

Top reviews from other countries

Donal MacKernan
4.0 out of 5 starsVerified Purchase
Great hands on book - but very skimpy from a theoretical perspective
Reviewed in the United Kingdom on October 30, 2013
I like this book very much, and have had even a better time exploring the associated algorithms. My only complaint is that the theory side is pretty skimpy to say the least - so do not expect to learn data-mining at a deep level from this book - but rather get a hands-on...See more
I like this book very much, and have had even a better time exploring the associated algorithms. My only complaint is that the theory side is pretty skimpy to say the least - so do not expect to learn data-mining at a deep level from this book - but rather get a hands-on feel for what can be done - if a pretty vague notion at a conceptual level. Maybe the authors could try to improve this deficiency in later editions. Nonetheless, the book is great.
I like this book very much, and have had even a better time exploring the associated algorithms. My only complaint is that the theory side is pretty skimpy to say the least - so do not expect to learn data-mining at a deep level from this book - but rather get a hands-on feel for what can be done - if a pretty vague notion at a conceptual level. Maybe the authors could try to improve this deficiency in later editions. Nonetheless, the book is great.
4 people found this helpful
Report
Mark Hodnett
4.0 out of 5 starsVerified Purchase
Great book for people new to R
Reviewed in the United Kingdom on April 9, 2013
Good book for visualisation and data exploration. I felt that the data mining chapters went into too much depth on the actual algorithms and not into enough depth on the process and the parameter values. For someone new to R, this is a great first book, as it allows you to...See more
Good book for visualisation and data exploration. I felt that the data mining chapters went into too much depth on the actual algorithms and not into enough depth on the process and the parameter values. For someone new to R, this is a great first book, as it allows you to start using R without having to learn the programming language.
Good book for visualisation and data exploration. I felt that the data mining chapters went into too much depth on the actual algorithms and not into enough depth on the process and the parameter values. For someone new to R, this is a great first book, as it allows you to start using R without having to learn the programming language.
One person found this helpful
Report
Translate all reviews to English
Ana María Bisbé York
5.0 out of 5 starsVerified Purchase
Excelente libro para trabajo con Rattle
Reviewed in Spain on August 30, 2017
Me gusta mucho R y la herramienta Rattle. El libro la describe muy bien, muy buenos ejemplos. La editorial es excelente.
Me gusta mucho R y la herramienta Rattle. El libro la describe muy bien, muy buenos ejemplos. La editorial es excelente.
Report
Translate review to English
Royal
1.0 out of 5 starsVerified Purchase
Book is not great
Reviewed in the United Kingdom on May 14, 2015
Rubbish book.
Rubbish book.
Report
See all reviews
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who viewed this item also viewed

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

What other items do customers buy after viewing this item?

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Pages with related products.

  • learning communities
  • machine shop
  • data management
  • statistics r
  • Explore Rattles

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale

Data Mining with discount Rattle and R: outlet online sale The Art of Excavating Data for Knowledge Discovery (Use R!) online sale