| 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 | en_US |
| 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 | TWN |
| 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) |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98681 ) |
GoogleAnalytics