Distributed frequent sequence mining with declarative subsequence constraints

Directed Multigraph Miner (DMGM)

EAFIM: efficient apriori-based frequent itemset mining algorithmon Spark for big transactional data

Package provides java implementation of frequent pattern mining algorithms such as apriori, fp-growth

this is a backend application using springboot to implement the apriori method for association rules generation

Association Rule Mining using Apriori algorithm and FP-tree

Implementation of Static mining part of "Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach" Information Sciences, Volume 432, March 2018, Pages 278-300

BFPDEP(Bit vector based Frequent Pattern mining using Discarded Elements Prudently)

A tool for mining HTTP request frequent patterns

Some Code was done for mining frequent top k patterns

good, sometimes ugly, functional code. First program to mine frequent patterns, a smart pill organizer python app, finally testing global randomness presented by RNGs

An implementation of the FP Growth algorithm for support counting

Scalable Graph Mining