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
Interpreting neural networks by reducing nonlinearities during training
Optimising Rule Extraction for Deep Neural Networks. My third year university dissertation project
AirQ-RuleGrCEx - A Granular Computing-based Algorithm for Air Quality Rule Extraction
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