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I am hoping to put this on my pre-ordered or Amazon Wish list. The book the common people who wanted to do data mining with , but were unable to ask aloud they didnt know much. It is written by the seminal Australian authority on data mining Dr Graham Williams whom I interviewed here at http://decisionstats.com/2009/01/13/interview-dr-graham-williams/
Data Mining for the masses using an ergonomically designed Graphical User Interface.
Thank you Springer. Thank you Dr Graham Williams
Data Mining with Rattle and R
The Art of Excavating Data for Knowledge Discovery
Series: Use R
1st Edition., 2011, XX, 409 p. 150 illus. in color.
Softcover, ISBN 978-1-4419-9889-7
Due: August 29, 201154,95 €
- Encourages the concept of programming with data – more than just pushing data through tools, but learning to live and breathe the data
- Accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics
- Details some of the more popular algorithms for data mining, as well as covering model evaluation and model deployment
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.
Content Level » Research
Keywords » Data mining
Related subjects » Physical & Information Science
Okay, through the weekend I created a website for a few of my favourite things.
It’s on at https://rforanalytics.wordpress.com/
Graphical User Interfaces for R
Jerry Rubin said: “Don’t trust anyone over thirty
I dont trust anyone not using atleast one R GUI. Here’s a list of the top 10.
Code Enhancers for R
Here is a list of top 5 code enhancers,editors in R
R Commercial Software
A list of companies and software making (and) selling R software (and) services. Hint- it is almost 5 (unless I missed someone)
R Graphs Resources
R’s famous graphing capabilities and equally famous learning curve can be made a bit more humane- using some of these resources.
Because that’s what I do (all I do as per my cat) , and I am pretty good at it.
Using R from other Software
R can be used successfully from a lot of analytical software including some surprising ones praising the great 3000 packages library.
(to be continued- as I find more stuff I will keep it there, some ideas- database access from R, prominent R consultants, prominent R packages, famous R interviewees ;) )
ps- The quote from Jerry Rubin seems funny for a while. I turn 34 this year.
- Web Analytic Tools – Which is Right for You? (bloggingtips.com)
- OkCupid Demystifies Dating with Big Data (gigaom.com)
- Stata/SAS/SPSS – Numeric Data Services – Subject Guides at Syracuse University Library (researchguides.library.syr.edu)
- Michigan State University Libraries – Data Services – Data Analysis (lib.msu.edu)
- SPSS Guru embraces the freeware, R (ekonometrics.blogspot.com)