| 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 | en |
| 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 | TWN |
| 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 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98057 ) |
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