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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.

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SagharShafaati/FL-IoT-Aquaponics-PatternMining

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FL-IoT-Aquaponics-PatternMining

This repository contains the official implementation of the method proposed in the following publication:

Title: Scalable Anomaly Detection and Pattern Mining in IoT Aquaponics Systems via Federated Learning Authors: Saghar Shafaati, Javad Mohammadzadeh Conference: 2025 11th International Conference on Web Research (ICWR) Publisher: IEEE DOI: https://doi.org/10.1109/ICWR65219.2025.11006250 IEEE Xplore: View Article on IEEE Xplore Conference Location: Tehran, Iran Date of Conference: April 16–17, 2025 Full Version on ResearchGate: Access Full Article

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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.

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