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This repository contains Privacy preservation data mining methods written by Arnav Jain on 28th April '16.

readCSV.py file reads the database and hides the sensitive information. Apriori.py then finds frequent item-sets based on which filename you input (dataWithAge.csv/dataWithoutAge.csv)

Please install plot.ly before running the program. (https://plot.ly/python/offline/) Program uses plot.ly to plot pie chart and save it as html file.

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Code uses Gaussian Noise methods to hide sensitive information and then Apriori to generate frequent item-sets.

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