Paper Infomation
Data Mining Techniques for Studying Based on User Home Appliances Behavior in Smart Home
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Author: Jianhao ZENG, Wei CHEN
Abstract: The main work of this paper is to use data mining techniques to discover the structure of smart home appliances usage patterns. Particularly, this paper uses home appliances for each hour to be the transaction, and Apriori algorithm, so work out the rule which conform minimum confidence level of 0.6 and minimum support level of 0.2. To adoptive lift to measure the mining patterns, and indicate the patterns are significance, so we can reveal the household appliances usage patterns. This paper provides a new method for the design of smart home system, which can make smart home more intelligent.
Keywords: User Home Appliances Behavior Pattern; Apriori Algorithm; Data Mining
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