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Automated method of pattern recognition in smart home data.

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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.

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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.

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Automated method of pattern recognition in smart home data.

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