A Novel System for Mining Useful Correlation in Smart Home
學年 102
學期 1
發表日期 2013-12-07
作品名稱 A Novel System for Mining Useful Correlation in Smart Home
作品名稱(其他語言)
著者 Chen, Yi-Cheng; Peng, Wen-Chih; Lee, Wan-Chien
作品所屬單位 淡江大學資訊工程學系
出版者
會議名稱 The 6th International Workshop on Domain Driven Data Mining (DDDM 2013) (in conjunction with IEEE ICDM 2013)
會議地點 Dallas, Texas, USA
摘要 Owing to the great advent of sensor technology, the usage data of appliances in a house can be logged and collected easily today. However, it is a challenge for the residents to visualize how these appliances are used. Thus, mining algorithms are much needed to discover appliance usage patterns. Most previous studies on usage pattern discovery are mainly focused on analyzing the patterns of single appliance rather than mining the usage correlation among appliances. In this paper, a novel system, namely, Correlation Pattern Mining System (CPMS), is developed to capture the usage patterns and correlations among appliances. With several new optimization techniques, CPMS can reduce the search space effectively and efficiently. Furthermore, the proposed algorithm is applied on a real-world dataset to show the practicability of correlation pattern mining.
關鍵字 correlation pattern;smart home;sequential pattern;time interval-based data;usage representation
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20131207~20131207
通訊作者
國別 USA
公開徵稿 Y
出版型式 紙本
出處 The 6th International Workshop on Domain Driven Data Mining (DDDM 2013) in conjunction with IEEE ICDM 2013, pp.357-364
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