Activity Modeling in Smart Home Using High Utility Pattern Mining Over Data Streams

Provided by: International Journal of Computer Science and Network
Topic: Security
Format: PDF
Smart home technology is a better choice for the people to care about security, comfort and power saving as well. It is required to develop technologies that recognize the Activities of Daily Living (ADLs) of the residents at home and detect the abnormal behavior in the individual's patterns. Data mining techniques such as Frequent Pattern Mining (FPM) and High Utility Pattern (HUP) mining were used to find those activity patterns from the collected sensor data. But applying the above technique for activity recognition from the temporal sensor data stream is highly complex and challenging task.

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