- 學位論文
以資料發掘技術規劃技職校院課程查詢網站之研究
The Study in TVE Course Querying Web Site Managed by Data Mining Techniques
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摘要
資料發掘（Data mining）研究的重點是利用資訊科技的輔導以挖掘並分析大量的資訊，來萃取出隱藏於前所未知且可能非常有用的資料，因此資料發掘是建立在資料庫領域的發展上，在資料發掘前需先對資料庫的設計、型態與種類等問題有一完善之規劃。本研究應用資料發掘之資料庫規劃理念，於「技職校院課程查詢網站」規劃上，經由文獻探討及網站系統建立研究架構，並採用目前技職校院課程之資料進行資料發掘，最後分析結果可作為「技職校院課程查詢網站」規劃與建置之參考。 目前，技職專科校院幾乎已全面建立專有網站，但各校間缺乏課程資料庫之整合性，往往需耗費時間另外作課程網站系統架構分析與設計，且其架構與內容並不一定能滿足家長、學生及社會大眾或各級學校間、技職教育行政人員課程資料查詢之需求。本研究是以符合目前各技職校院課程查詢使用者需求及建立未來教育界之資料倉儲觀點為出發點，將課程查詢者對應到顧客購物行為觀念上，再應用資料發掘之資料庫規劃理念來分析「技職校院課程查詢網站」，建立查詢者-顧客、技職課程-商品及學校（老師）-商品品牌的對應分析模式，最後透過資料發掘的預測分析方法，找出技職校院課程查詢網站使用者的人數，可以提供「技職校院課程查詢網站」系統設計者規劃與建置的參考，使得網站的規劃更滿足社會上各使用者的需求。
並列摘要
The study in Data Mining is focused on mining a lot of information and analyzing them with the help of technology, so as to find out the unknown and hidden data which may be very useful. Hence, Data Mining is based on the development in data-base field. Before Data Mining is done, a good management for some items has to be made first, for example, design, type … , etc. This thesis uses the data-base management method in Data Mining to set up the studying construction on the management for TVE course querying web site through information discussing and the web site system. Further more, Data Mining is used in TVE course information and the final analysis result can be taken for reference in the management and construction of TVE course querying web site. By now, almost all TVE schools have set up their own web sites. But they are weak in the integration among every school’s course data-base. People often need to spend much time analyzing and designing the course web site system construction and these results can not meet many people’s requests wholly in searching the course information. The study takes it as the starting point that it can meet users’ requests in querying TVE courses and in constructing the data warehouse of education in the future. It matches users to the thinking of customers’ shopping. Moreover, it uses the idea of data-base management in Data Mining to analyze the “TVE course querying web site” and to build the matching analysis modes of users to customers, TVE courses to goods and schools (teachers) to goods names. Finally, it uses methods of prediction and analysis to find out the amount of TVE course querying web site users, so as to provide references to the system designers in managing and setting up the TVE course querying web site, so that the management for web site can meet every user’s request.
參考文獻
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