The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

[AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library

Graph Pattern Mining

scikit-mine : pattern mining in Python

Python SPMF Wrapper 🐍 🎁

LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping

A visualization tool that supports queries and pattern mining for event sequence exploration

Mining Relevant Fix Patterns for Automated Program Repair

This is an automated transformation inference tool that leverages a big code corpus to guide the abstraction of transformation patterns.

RuleMiner is a package for data mining in Julia with support for itemset and association rule mining algorithms

A Java Desktop application with a graphical user interface for the discovery of colinear syntenic blocks across thousands microbial genomes

Vertex Ordering to List Triangles: a fast C++ tool for triangle counting or listing in big graphs. See associated paper: https://arxiv.org/abs/2203.04774

Pattern Mining for the Classification of Public Procurement Fraud

Higher-order genetic interaction discovery with network-based biological priors.

Exceptional Model Mining is a descriptive data mining technique to find interesting patterns in datasets. This package contains a Python inmplementation of Exceptional Model Mining that can be applied to any dataset.

The shortest yet efficient implementation of the famous sequential pattern mining algorithm PrefixSpan in Scala.

This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.

C# code of ECSM (AI 2016 conference)

Describe data in terms of informative and concise sets of patterns

SCPM algorithm for structural correlation pattern mining

Find data concentration patterns and hotspots. Built for fraud detection and risk analysis.

LoCoMotif-DoK is a time series motif discovery method that leverages domain knowledge represented by hard and soft constraints. It discovers variable-length motif sets in a multivariate time series using time warping.

Approximate Pattern Mining in Labeled Graphs

Frequent Pattern Mining in Simplicial Complexes

"DM1 - Data Mining: Foundations" Class' Team Project - MSc in Data Science and Business Informatics @ University of Pisa

Node-based CLI utility for local matcher-core configs' headless testing 🎈

Convolutional Neural Network for Dynamics EXploration (CODEX) is a method for mining time-series dataset by leveraging CNN features.

Explain variable influence in black-box model through pattern mining

An Arithmetic Circuit Miner