碩士 / 國立交通大學 / 工業工程與管理系所 / 92 / An Internet-based software system entitled Fishery Information Sharing Hotline (FISH) is constructed for exploring important fishery knowledge. Essentially the FISH system consists of three sequential stages: data warehouse, On-Line Analytical Processing (OLAP), and data mining. At the first stage, the fishery data from various sources are collected into the data warehouse periodically. Then selected tabular messages or visual diagrams are scanned and screened as required at the OLAP stage. Also the qualified messages will be exported for more advanced processing using data mining techniques. In this thesis, three data mining cases are studied at the final stage. Case one is to trace the voyaging trails of interested vessels using a mining method for searching sequential patterns. For the given criteria, case two is to filter out outstanding vessel groups using a two-stage clustering method. Case three is to test some well-known hypotheses for fisheries production relationships based on fishing grounds and seasons. The research results show the feasibility of FISH approach.
| Identifer | oai:union.ndltd.org:TW/092NCTU5031045 |
| Date | January 2004 |
| Creators | Shih-Han, Chen, 陳詩涵 |
| Contributors | Dr.Gau-Rong Liang, 梁高榮 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 162 |
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