Tag: data
New book on BigData Analytics and Data mining using #Rstats with a GUI
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 https://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
http://www.springer.com/statistics/physical+%26+information+science/book/978-1-4419-9889-7
Data Mining with Rattle and R
The Art of Excavating Data for Knowledge Discovery
Series: Use R
Williams, Graham
1st Edition., 2011, XX, 409 p. 150 illus. in color.
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Softcover, ISBN 978-1-4419-9889-7
Due: August 29, 2011
54,95 €
- 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
Related- https://decisionstats.com/2009/01/13/interview-dr-graham-williams/
Revolution releases R Windows for Academics for free
Based on the official email from them, God bless the merry coders at Revo-
Revolution Analytics has just released Revolution R Enterprise 4.3 for 32-bit and 64-bit Windows, a significant step forward in enterprise data analytics. It features an updated RevoScaleR package for scalable, fast (multicore), and extensible data analysis with R. Revolution R Enterprise 4.3 for Windows also provides R 2.12.2, and includes an enhanced R Productivity Environment (RPE), a full-featured integrated development environment with visual debugging capabilities. Also available is an updated Windows release of our deployment server solution, RevoDeployR 1.2, designed to help you deliver R analytics via the Web.
As a registered user of the Academic version of Revolution R Enterprise for Windows, you can take advantage of these improvements by downloading and installing Revolution R Enterprise 4.3 today. You can install Revolution R Enterprise 4.3 side-by-side with your existing Revolution R Enterprise installations; there is no need to uninstall previous versions.
Try JMP for free in steps 1-2-3
Test a 30 day free trial of JMP, the beautiful software with the ugliest website.
In case you have never used JMP, but know the difference between a mean and a mode- take a look.
Step 1 Fill long and badly designed outdated form (note the blue lightening graphics design and font)
Step 2 See uselessly long message, as the website does require registration but it has not done any oAuth/SM easy registration even though they help sell software in the same campus on social media
Step 3 Wait for 352 mb TO DOWNLOAD without a bit torrent or mirror servers, or even a link for scheduling Download Accelerator-
Note internet connections can be lousy (globally not just in India) to categorize 352 mb of downloads as painful.
And after all the violence and double talk
There’s just a song in all the trouble and the strife
JMP is still the best easiest to use powerful Big Data software with extensions into R and SAS.
Google releases V1.2 of Google Prediction API
To join the preview group, go to the APIs Console and click the Prediction API slider to “ON,” and then sign up for a Google Storage account.
For the past several months, I have been member of a semi-public beta test/group/forum – that is headed by Travis Green of the Google Prediction API Team (not the hockey player). Basically in helping the Google guys more feedback on the feature list for model building via cloud computing. I couldn’t talk about it much , because it was all NDA hush hush.
Anyways- as of today the version 1.2 of Google Prediction API has been launched. What does this do to the ordinary Joe Modeler? Well it helps gives your models -thats right your plain vanilla logistic regression,arima, arimax, models an added ensemble option of using Google’s Machine Learning Continue reading “Google releases V1.2 of Google Prediction API”
High Performance Analytics
Marry Big Data Analytics to High Performance Computing, and you get the buzzword of this season- High Performance Analytics.
It basically consists of Parallelized code to run in parallel on custom hardware, in -database analytics for speed, and cloud computing /high performance computing environments. On an operational level, it consists of software (as in analytics) partnering with software (as in databases, Map reduce, Hadoop) plus some hardware (HP or IBM mostly). It is considered a high margin , highly profitable, business with small number of deals compared to say desktop licenses.
As per HPC Wire- which is a great tool/newsletter to keep updated on HPC , SAS Institute has been busy on this front partnering with EMC Greenplum and TeraData (who also acquired SAS Partner AsterData to gain a much needed foot in the MR/SQL space) Continue reading “High Performance Analytics”
Broad Guidelines for Graphs
Here are some broad guidelines for Graphs from EIA.gov , so you can say these are the official graphical guidelines of USA Gov
They can be really useful for sites planning to get into the Tableau Software/NYT /Guardian Infographic mode- or even for communities of blogs that have recurrent needs to display graphical plots- particularly since communication, statistical and design specialists are different areas/expertise/people.
Energy Information Administration Standard
Broad Guidelines for Graphs-I am reproducing an example from EIA ‘s guidelines for graphs-
http://www.eia.gov/about/eia_standards.cfm#Standard25
http://www.eia.gov/about/eia_standards.cfm#Standard25
Energy Information Administration Standard 2009-25
Title: Statistical Graphs
Superseded Version: Standard 2002-25
Purpose: To ensure the utility (usefulness to intended users) and objectivity (accuracy, clarity, completeness, and lack of bias) of energy information presented in statistical graphs.
Applicability: All EIA information products.
Required Actions:
- Graphs should be used to show and compare changes, trends and/or relationships, and to assist users in visualizing the conclusions drawn from the data represented.
- A graph should contain sufficient Continue reading “Broad Guidelines for Graphs”
DECISION STATS 