PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
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Updated
Jun 3, 2024 - Jupyter Notebook
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
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.
Python SPMF Wrapper 🐍 🎁
Graph Pattern Mining
Node-based CLI utility for local matcher-core configs' headless testing 🎈
[AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library
A visualization tool that supports queries and pattern mining for event sequence exploration
scikit-mine : pattern mining in Python
This is an automated transformation inference tool that leverages a big code corpus to guide the abstraction of transformation patterns.
Mining Relevant Fix Patterns for Automated Program Repair
Pattern Mining in Multi-weighted Graphs
Fast indexes for the AtomSpace
A porting to modern g++ and C+11 of the IBM Quest dataset generator
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.
A Java Desktop application with a graphical user interface for the discovery of colinear syntenic blocks across thousands microbial genomes
Convolutional Neural Network for Dynamics EXploration (CODEX) is a method for mining time-series dataset by leveraging CNN features.
SCPM algorithm for structural correlation pattern mining
This project proposes an efficient algorithm for mining periodic high-utility sequential patterns
Describe data in terms of informative and concise sets of patterns
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