教師資料查詢 | 類別: 會議論文 | 教師: 陳以錚 YI-CHENG CHEN (瀏覽個人網頁)

標題: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
語言英文
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
國別美國
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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