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:An Intelligent System for Mining and Maintaining Correlation Patterns among Appliances in Smart Home
學年103
學期1
發表日期2014/08/26
作品名稱An Intelligent System for Mining and Maintaining Correlation Patterns among Appliances in Smart Home
作品名稱(其他語言)
著者Yi-Cheng Chen; Julia Tzu-Ya Weng
作品所屬單位資訊工程學系暨研究所
出版者
會議名稱The 10-th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2014)
會議地點Tainan, Taiwan
摘要Recently, due to the great advent of sensor
technology, residents can collect the usage data of appliances in a house easily. However, with data progressively generating, it is still a challenge to visualize how these appliances are used. Thus, a mining and maintaining system is needed to incrementally discover appliance usage
patterns. Most previous studies on usage
pattern discovery are mainly focused on analyzing the patterns of single appliance and do not consider the incremental maintenance of mining results. In this paper, a novel system, namely, Dynamic Correlation Mining System (DCMS) is
developed to capture and maintain the correlation patterns among appliances incrementally. The experimental results indicate that proposed system is efficient in execution time and possesses scalability. Furthermore, we apply DCMS on a real-world dataset to show the practicability.
關鍵字sensor data analysis;smart home;correlation pattern;intelligent system;incremental mining
語言英文(美國)
收錄於
會議性質國內
校內研討會地點
研討會時間20140826~20140827
通訊作者Yi-Cheng Chen
國別中華民國
公開徵稿Y
出版型式紙本;電子版
出處The 10-th Workshop on Wireless, Ad Hoc and Sensor Networks (WASN 2014)
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