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Code and datasets for the Tsetlin Machine
machine-learning game-theory pattern-recognition propositional-logic bandit-learning frequent-pattern-mining learning-automata tsetlin-machine
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
python pattern-recognition spatial-data frequent-pattern-mining periodicity frequent-itemsets stream-mining pattern-mining frequent-subgraphs sequence-mining spatiotemporal-data-analysis spatiotemporal-data periodic-patterns
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
machine-learning regression classification convolution propositional-logic bandit-learning embedding frequent-pattern-mining rule-based interpretable tsetlin-machine
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
machine-learning artificial-intelligence mnist pattern-recognition bitwise-operators frequent-pattern-mining rule-based explainable-ai tsetlin-machine
🍊 📦 Frequent itemsets and association rules mining for Orange 3.
support orange apriori association-rules frequent-pattern-mining frequent-itemsets market-basket-analysis fpgrowth confidence
🔨 Python implementation of Apriori algorithm, new and simple!
Tutorial on the Convolutional Tsetlin Machine
convolution pattern-recognition propositional-logic bandit-learning frequent-pattern-mining rule-based interpretable-machine-learning tsetlin-machine
Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
deep-learning text-classification medical frequent-pattern-mining medical-informatics tsetlin-machine
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
python data-mining gpu gcc transaction cuda plot transactions gpu-acceleration apriori frequent-itemset-mining data-mining-algorithms frequent-pattern-mining apriori-algorithm frequent-itemsets pycuda gpu-programming eclat eclat-algorithm
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
machine-learning regression classification convolution propositional-logic bandit-learning frequent-pattern-mining rule-based interpretable-machine-learning tsetlin-machine
A handy Python wrapper of the famous VMSP algorithm for mining maximal sequential patterns.
Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.
data-science data-mining python3 fp-growth hashtable association-rules data-mining-algorithms frequent-pattern-mining fp-tree apriori-algorithm association-analysis hashtree retail-data fptree basket-data chess-data fptree-algorithm transactional-database
gSpan, an efficient algorithm for mining frequent subgraphs
cSPADE: mining frequent sequence patterns with constraints (extension of SPADE)
"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.
python data-science data-mining apriori frequent-itemset-mining association-rules frequent-pattern-mining apriori-algorithm fpgrowth eclat association-rule-mining eclat-algorithm apriori-algorithm-python frequent-sequence-mining hmine hmine-algorithm
Python interface to arules for association rule mining
fim is a collection of some popular frequent itemset mining algorithms implemented in Go.
apriori fp-growth frequent-itemset-mining frequent-pattern-mining apriori-algorithm association-analysis eclat fp-growth-algorithm eclat-algorithm
Algorithms for Mining Frequent Trees (in Tree Structured Datasets)
R package for searching of patterns in subspaces described with elementary conjunctions
data-mining knowledge-discovery pattern-recognition frequent-itemset-mining r-package association-rules fuzzy-logic frequent-pattern-mining frequent-patterns frequent-itemsets pattern-mining association-rule-mining subgroup-discovery contrast-pattern-mining fuzzy-association-rules
Frequent Pattern mining in tree-like sequences for medical data.
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