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SHASFARM

Smart Home Automation Suggestions using Frequent itemsets and Association Rule Mining

SHASFARM is a machine learning pipeline which employs a technique of association rule mining and pruning to train a model for pattern recognition in smart home data. The pipeline yields specific suggestions of automations it thinks the user could use.

Data

SHASFARM is currently configured to used Home Assistant database out of the box, but can handle any sort of data which is based on entity change recording with manual pre-processing.