Open Source Analytics

A good resource on Data Mining using R environment is “Data Mining - Desktop Survival Guide” by Graham Williams. Its a well researched and frequently updated free online book. Graham does a good job of going through the data mining process and provides detailed descriptions of the commonly used algorithms.

Exmaples are in R (all with R source code, of course), with some good examples of graphical visualization as well.

Click here for Data Mining - Desktop Survival Guide

R Environment is a part of DecisionStudio-Professional and can also be separately downloaded from http://r-project.org.

I would, in due course, spend some time on the R Environment (available as part of DecisionStudio Professional, and separately downloadable from http://r-project.org). R provides an excellent alternative to commercial products for modeling, statistical analysis, and graphics. Originally designed by AT&T Bell Labs, the R environment is fast becoming the standard for cutting edge number crunching.
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On Friday we released DecisionStudio Professional - a comprehensive and free desktop BI Platform that gives you all the tools needed for analytics under a single package licensed under GNU Public License (GPL).

DecisionStudio Professional (DSP) is an advanced graphical data mining, reporting, modeling, and analysis environment built on top of the best-of-breed open source projects. Some of these include:
— Optimized MySQL database as data warehouse platform
— SQL Workbench (MySQL Query Browser and DBDesigner) for Data Analysts
— R environment for statistical analysis and modeling
— iReport Reporting GUI and JasperReport reporting library
— Python with Boa Constructor IDE for application and GUI development

DecisionStudio Professional is the only end-to-end open source analytics platform that provides comprehensive capabilities to each role. Data Analysts get to store, process, and publish data on a standard MySQL platform; Reporting Analysts would like iReport and the integration with Office tools; and Modelers would love the excellent R Environment. It also includes Python along with a drag-n-drop GUI building environment for analytics Application Developers.

You can find out more about DecisionStudio Professional at decisionstudio.com, and can download your copy at Sourceforge.net. Click here to download the product brochure (PDF).

Go ahead, it’s completely free and will always stay so.

Decision trees are one of the most widely used and practical forms of machine learning and data mining. They have been widely researched and applied to a large variety of data mining problems. (Decision trees are also known as Classification Trees or Regression Trees based on whether the classification is being done on real values or on categorical variables.)

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