There are 65 repositories under pattern-mining topic.
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)
Graph Pattern Mining
scikit-mine : pattern mining in Python
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
A Java Desktop application with a graphical user interface for the discovery of colinear syntenic blocks across thousands microbial genomes
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
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
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.
This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.
The shortest yet efficient implementation of the famous sequential pattern mining algorithm PrefixSpan in Scala.
Describe data in terms of informative and concise sets of patterns
"DM1 - Data Mining: Foundations" Class' Team Project - MSc in Data Science and Business Informatics @ University of Pisa
Frequent Pattern Mining in Simplicial Complexes
Approximate Pattern Mining in Labeled Graphs
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.
Node-based CLI utility for local matcher-core configs' headless testing 🎈
A porting to modern g++ and C+11 of the IBM Quest dataset generator
Find data concentration patterns and hotspots. Built for fraud detection and risk analysis.
Convolutional Neural Network for Dynamics EXploration (CODEX) is a method for mining time-series dataset by leveraging CNN features.
An Arithmetic Circuit Miner
This repository introduces two novel CP approaches for mining closed interval patterns directly from numerical datasets. Unlike existing methods that require pre- and post-processing steps to handle numerical data, our models perform pattern mining seamlessly, preserving information integrity.
This repository contains the Python implementation for the article "Scalable Anomaly Detection and Pattern Mining in IoT Aquaponics Systems via Federated Learning." The code integrates PrefixSpan for pattern mining and a federated learning framework for decentralized anomaly detection in IoT-enabled aquaponics systems.
This project highlights my ability to: Build end-to-end ML solutions (from raw data → preprocessing → model → deployment) Implement custom algorithms (HUOMIL) for specialized tasks Work with realistic healthcare datasets Develop full-stack data-driven applications with Python, Django, and ML
Enhanced Apriori rule mining with a custom asymmetric quality function using tunable α and β to control penalties for false positives and false negatives. Includes comparison with traditional metrics like confidence and lift.