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

標題:Significant Correlation Pattern Mining in Smart Homes
學年103
學期2
出版(發表)日期2015/04/01
作品名稱Significant Correlation Pattern Mining in Smart Homes
作品名稱(其他語言)
著者Chen, Yi-Cheng; Peng, Wen-Chih; Huang, Jiun-Long; Lee, Wang-Chien
單位淡江大學資訊工程學系
出版者New York: Association for Computing Machinery, Inc.
著錄名稱、卷期、頁數ACM Transactions on Intelligent Systems and Technology 6(3)Article35, pp.1-23
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 article, a novel algorithm, namely Correlation Pattern Miner (CoPMiner), is developed to capture the usage patterns and correlations among appliances probabilistically. CoPMiner also employs four pruning techniques and a statistical model to reduce the search space and filter out insignificant patterns, respectively. 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(美國)
ISSN2157-6912
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者Chen, Yi-Cheng
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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