關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Significant Correlation Pattern Mining in Smart Homes

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序號 學年期 教師動態
1 103/2 資工系 陳以錚 助理教授 期刊論文 發佈 Significant Correlation Pattern Mining in Smart Homes , [103-2] :Significant Correlation Pattern Mining in Smart Homes期刊論文Significant Correlation Pattern Mining in Smart HomesChen, Yi-Cheng; Peng, Wen-Chih; Huang, Jiun-Long; Lee, Wang-Chien淡江大學資訊工程學系Correlation pattern;smart home;sequential pattern;time interval– based data;usage representationNew York: Association for Computing Machinery, Inc.ACM Transactions on Intelligent Systems and Technology 6(3)Article35, pp.1-23Owing 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 patter
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