##Technologies Used: Python, Pydev for Eclipse IDE, Chris Borgelt's tools.
##Dataset used: collection of transcribed medical reports available on the MTSample website (http://mtsamples.com/).
##Description: Embarking on the journey for learning the KDD process. Using a public dataset, implementing association pattern mining techniques. This includes data preprocessing – extracting sentences with family members names, removal of stop words, Data Mining - implementation of Apriori algorithm and FPGrowth algorithm (Chris Borgelt’s tools). Post processing of word associations – making ordered wordLists and lastly, analysis of the output wordLists against various factors.
##TODO:
- Adding code blocks
- Modify structure of the page.
- Add JS elements.