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Finding Frequent Item Sets over millions shopping baskets: realized by SON algorithm on Spark in Python on AWS.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Test Cases		Test Cases
README.md		README.md
Son_Algorithm.py		Son_Algorithm.py
baskets1.txt		baskets1.txt
baskets2.txt		baskets2.txt
baskets3.txt		baskets3.txt
outputf1.txt		outputf1.txt
outputf2.txt		outputf2.txt
outputf3.txt		outputf3.txt

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Finding Frequent Item Sets

Finding Frequent Item Sets over millions shopping baskets: realized by SON algorithm on Spark in Python on AWS.

This project aims to discover correlated items customers most likely purchase together given big shopping basket dataset. It is implemented by SON Data Mining Algorithm via MapReduce with Spark on AWS, programming in Python. It calculates frequent item sets over millions of shopping basket records in just (<30) seconds.

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Finding Frequent Item Sets over millions shopping baskets: realized by SON algorithm on Spark in Python on AWS.

python spark son-algorithm

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