教師資料查詢 | 類別: 期刊論文 | 教師: 張世豪 SHIH-HAO CHANG (瀏覽個人網頁)

標題:A cloud-based system for dynamically capturing appliance usage relations
學年105
學期1
出版(發表)日期2016/09/22
作品名稱A cloud-based system for dynamically capturing appliance usage relations
作品名稱(其他語言)
著者Yi-Cheng Chen; Shih-Hao Chang; Wei-Hsun Liao; Jianquan Liu; Yutaka Watanobe
單位
出版者
著錄名稱、卷期、頁數International Journal of Web and Grid Services 12(3), p.257-272
摘要Nowadays, owing to the great advent of sensor technology, data can be collected easily. Mining Internet of Things (IoT) data has attracted researchers' attention owing to its practicability. Mining smart home data is one significant application in the IoT domain. Generally, the usage data of appliances in a smart environment are generated progressively; visualising how appliances are used from huge amount of data is a challenging issue. Hence, an algorithm is needed to dynamically discover appliance usage patterns. Prior studies on usage pattern discovery are mainly focused on discovering patterns while ignoring the dynamic maintenance of mined results. In this paper, a cloud-based system, Dynamic Correlation Mining System (DCMS), is developed to incrementally capture the usage correlations among appliances in a smart home environment. Furthermore, several pruning strategies are proposed to effectively reduce the search space. Experimental results indicate that the developed system is efficient in execution time and possesses great scalability. Subsequent application of DCMS on a real data set also demonstrates the practicability of mining smart home data.
關鍵字incremental mining;usage relations;sequential patterns;smart homes;cloud computing;appliance usage patterns;data mining;internet of things;IoT;smart home data;home appliances
語言英文(美國)
ISSN1741-1114
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
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