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.

Data Mining project 2020/2021 @ University of Pisa

The shortest yet efficient implementation of the famous sequential pattern mining algorithm PrefixSpan in Scala.

Data mining algorithm

An implementation of sequential pattern mining algorithm with focus on a change in state.

This repository contains the Python implementation for the article "Scalable Anomaly Detection and Pattern Mining in IoT Aquaponics Systems via Federated Learning." The code integrates PrefixSpan for pattern mining and a federated learning framework for decentralized anomaly detection in IoT-enabled aquaponics systems.

DATA MINING & SOCIAL NETWORK ANALYSIS

This repository provides the Python code for "Explainable Air Quality Management", featuring federated learning with adaptive aggregation, SHAP-based interpretability, and anomaly detection using PrefixSpan. It enhances AQI prediction accuracy and transparency across IoT sensor networks.

A paper about sequential data mining and experiments of some algorithms.