Big-data

This repository is a collection of codes implementing Big data concepts and algorithms, many of them being direct implementation of some well known research papers. This reposirory includes following:

1. Classification based on Associations
2. A-Close
3. Improved Apriori implementation using hashing
4. Improved Apriori implementation using partition based approach
5. Improved Apriori implementation using transaction reduction
6. CHARM
7. Dynamic Itemset Counting
8. Equivalence Class LAttice Traversal
9. MAximal Frequent Itemset Analysis
10. Pincer Search
11. Pyspark programs: A collection of basic programs written with pyspark

The generate_itemsets.py can be used to generate many custom datasets for the given codes.