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:Mining Correlation Patterns among Appliances in Smart Home Environment
學年102
學期2
發表日期2014/05/13
作品名稱Mining Correlation Patterns among Appliances in Smart Home Environment
作品名稱(其他語言)
著者Chen, Yi-Cheng; Chen, Chien-Chih; Peng, Wen-Chih; Lee, Wang-Chien
作品所屬單位淡江大學資訊工程學系
出版者Springer
會議名稱The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014)
會議地點Tainan, Taiwan
摘要Since 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 algorithm, namely, Correlation Pattern Miner (CoPMiner), is developed to capture the usage patterns and correlations among appliances probabilistically. With several new optimization techniques, CoPMiner 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 intervalbased data;usage representation
語言英文
收錄於EI
會議性質國際
校內研討會地點
研討會時間20140513~20140516
通訊作者陳以錚
國別中華民國
公開徵稿Y
出版型式電子版
出處The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), pp.222-233
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