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:Incrementally Mining Usage Correlations among Appliances in Smart Homes
學年104
學期1
發表日期2015/09/02
作品名稱Incrementally Mining Usage Correlations among Appliances in Smart Homes
作品名稱(其他語言)
著者Chen, Yi-Cheng; Hung, Hsiu-Chieh; Chiang, Bing-Yang; Peng, Sheng-Yuan; Chen, Peng-Jun
作品所屬單位
出版者IEEE
會議名稱The 18th International Conference on Network-Based Information Systems (NBiS 2015)
會議地點Taipei, Taiwan
摘要Recently, due to the great advent of sensor technology, residents can collect household appliance usage data easily. However, in general, usage data are generated progressively; visualizing how appliances are used from huge amount of data is challenging. Thus, an algorithm is needed to incrementally discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on mining patterns while ignoring the incremental maintenance of mined results. In this paper, a novel method, Dynamic Correlation Miner (DCMiner), is developed to incrementally capture and maintain the usage correlations among appliances in a smart home environment. Furthermore, several optimization techniques are proposed to effectively reduce the search space. Experimental results indicate that the proposed method is efficient in execution time and possesses great scalability. Subsequent application of DCMiner on a real dataset also demonstrates its practicability.
關鍵字usage representation;smart home;correlation pattern;incremental mining;sequential pattern
語言英文(美國)
收錄於EI
會議性質國際
校內研討會地點台北校園
研討會時間20150902~20150904
通訊作者Chen, Yi-Cheng
國別中華民國
公開徵稿Y
出版型式電子版
出處The 18th International Conference on Network-Based Information Systems (NBiS 2015)
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