CS 573 FINAL PROJECT

Implementation of Test Essential Assumption Knowledge(TEAK) on an nb-Tree(Tree with leaf nodes as naive bayes classifiers)

The code is a part of final Project of WVU CS 573 Advanced Data Mining, 2014 under Dr. Tim Menzies.
Most of the code is borrowed from original awk version at https://github.com/timm/auk.
All tools are written in python.py with runnable code in python'ed'.py.
Check out explanation of this code at project website.
OOPs-ed version of this code is available at Miner.
Project is continued as machine-learning framework at Miner.

PS: DEPRECIATED VERSION. PLEASE CHECK MINER FOR NEW VERSION.

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
data		data
graph_tools		graph_tools
output		output
src		src
LICENSE		LICENSE
README.md		README.md