The Ohri Framework tries to create an economic alternative to proprietary data mining softwares by giving more value to the customer and utilizing open source statistical package R , with the GUI Rattle , hosted on a cloud computing environment.
It is based on the following assumptions-
1) R is relatively inefficient in processing bigger file sizes on same desktop configuration as other softwares like SAS.
2) R has a steep learning curve , hence the need for the GUI Rattle .
3) The enhanced need for computing resources for R is best solved using a cloud computing on demand processing environment. This enables R to scale up to whatever processing power it needs. Mainstream data mining softwares charge by CPU count for servers and are much more expensive due to software costs alone.
Continue reading “The Ohri Framework – Data Mining on Demand”

