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 en_US
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 TWN
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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