Main Article Content
Abstract
Big data that are collected from the smart devices have been used to retrieve the human activity patterns to improve the health status of the people, as there is a lot of financial investment in the digital transformation as an effort to provide the healthier ecosystem for people. In these transformation millions of smart devices are equipped around the home, which provides a massive amount of refined and sorted data that can be used to analyses the health patterns of the human. In this research, the work mainly focus on analyzing the big data extracted from human activities in the smart home for frequent pattern mining, cluster analysis, prediction to measure and analyses the energy consumption changes and patterns based on the appliance to appliance level and appliance to time association, which is completely related to human activities.