A toolkit for extracting comprehensible rules from tree-based algorithms
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Updated
Dec 15, 2018 - Jupyter Notebook
A toolkit for extracting comprehensible rules from tree-based algorithms
A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints
An implementation of the TREPAN algorithm in python. TREPAN extracts a decision tree from an ANN using a sampling method.
Laravel package for rule extraction from MySQL databases
Rule Extraction from Bayesian Networks
🍄 Extract logical rules for mushroom edibility: Neural Networks; Genetic Algorithm + Decision Tree
Extraction of method phrases that contain an explicit mention of method keyword.Linguistic techniques as well as Statistical methods are expected to be used. Reference: http://www.aclweb.org/anthology/C12-1074
Extracting finite state machine (Mealy Machine) from Recurrent Neural Networks (Many-to-Many)
A sequence-analysis based discovery algorithm for declarative business process constraints
AirQ-RuleGrCEx - A Granular Computing-based Algorithm for Air Quality Rule Extraction
Interpreting neural networks by reducing nonlinearities during training
Optimising Rule Extraction for Deep Neural Networks. My third year university dissertation project
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