| dc.contributor | 國立政治大學資訊科學系 | en_US |
| dc.contributor | 行政院國家科學委員會 | en_US |
| dc.creator (作者) | 陳良弼 | zh_TW |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 12-十一月-2012 11:03:29 (UTC+8) | - |
| dc.date.available | 12-十一月-2012 11:03:29 (UTC+8) | - |
| dc.date.issued (上傳時間) | 12-十一月-2012 11:03:29 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/55447 | - |
| dc.description.abstract (摘要) | 隨著科技發展，內嵌無線通訊、精密感測、及計算等功能之感測器裝置的使用已日漸普及。在可預見的未來，智慧型感測器系統將大規模融入人們的生活環境，提供大量、即時、且各式各樣的感測器資料。本研究計畫以三年為期，開發一以智慧型商店經營為應用之感測器應用雛型系統，並發展相關技術。在本年度計畫執行過程中，我們已完成預定完成之研究項目，分別為感測器資料聚合處理技術、事件串流之段落比對技術及感測資料結合查詢處理技術，並已發表於國際一流相關期刊及會議。本期中報告茲就本年度所完成的研究成果進行精簡報告。 | - |
| dc.description.abstract (摘要) | Recently, due to the advance of technologies in wireless sensor networks, the applications on sensor networks have received considerable attention. In the near future, sensor network systems will gradually and seamlessly weave into human’s living space and provide mass and streaming sensor data. In this project, we make the first attempt to build an intelligent store management system, providing decision supports on businesses and personalized recommendation based on sensor data, and develop the core techniques needed in this application. In this progress report, three research results we achieved in this year are reported, including 1) robust sensor data aggregation technique, 2) episode matching over event streams, and 3) efficient join processing over sensor data streams. | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 應用研究 | en_US |
| dc.relation (關聯) | 學術補助 | en_US |
| dc.relation (關聯) | 研究期間:9808~ 9907 | en_US |
| dc.relation (關聯) | 研究經費:717仟元 | en_US |
| dc.subject (關鍵詞) | 感測資料;探勘技術 | en_US |
| dc.title (題名) | 感測資料之收集、處理及探勘技術之研究及其應用 (II) | zh_TW |
| dc.title.alternative (其他題名) | The Research and Application of the Techniques for Sensor Data Collection, Processing and Mining | en_US |
| dc.type (資料類型) | report | en |
