A toolkit for extracting comprehensible rules from tree-based algorithms

Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)

Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.

RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs

AMIE+ association rule mining

Instance Neighbouring by using Knowledge

A Python package for process-mining with DECLARE models.

📯 Knowledge Discovery in RDF Datasets using SPARQL Queries.

Source code accompanying our paper 'Multi-Directional Rule Set Learning', Discovery Science 2020.

Interpret all the models - a genetic optimization approach to model agnostic black box explanations based on MAGIX.

VICKEY: Mining Conditional Keys on RDF Knowledge Bases

Interesting Rule Induction Module with Handling Missing Attributes Values

C++ Implementation of Apriori Algorithm in Transactional Databases

Mining symbolic rules over knowledge graphs

A TS-based tool to explain possible biases in datasets where the target-variable is numeric.

IREP implementation - Data Mining course project

Demonstration of mining symbolic rules to explain lung cancer treatments

This project explores the factors influencing consumers' intentions to make online purchases during crises in Sri Lanka. Using survey data (836 responses), we perform data preprocessing, exploratory analysis, hypothesis testing, and rule mining to derive actionable insights for Wolt's marketing strategies.

Association Rule Mining and SFS

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.