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GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nod…
Apriori algorithm for finding frequent itemsets and rules
Datamining project for CPSC 4310 using FPGrowth
Origami: Algorithm for Representative Orthogonal Graph Mining and Sampling
BFPDEP(Bit vector based Frequent Pattern mining using Discarded Elements Prudently)
Mining frequent patterns with Apache Flink (using ECLAT)
MUSK Algorithm for Sampling Maximal Subgraphs
A log analyzer to extract analytic reports of usage
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