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。

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.

一、中文部份
江文雄（民85），技術及職業教育概論，台北：師大書苑。
江金山等人，（民87），灰色理論入門，台北：高立圖書有限公司。
吳漢雄、鄧聚龍、溫坤禮，（民85），灰色分析入門，台北：高立圖書有限公司。
林幸怡（民86），擴充先前知識以輔助資料發掘，國立政治大學資訊管理研究所碩士論文。
陳一如、李弘斌（民88），資料挖掘的運用—以決策樹方法分析保送甄試學生入學四技二專報到情形，景文技術學院學報，10期，頁87-103。
張天津（民72），技術職業教育行政與導視，台北：三民書局。
陳朝光，（民86），灰色系統原理，台北：高立圖書有限公司。
莊雅蓁（民87），資料倉儲的技術與發展，美國資訊科學學會台北學生分會會訊，11期，頁79-99。
馮丹白（民79），技術及職業教育範疇，技術及職業教育雙月刊，試刊號。
楊啟棟（民73），高科技與技職教育，台北：三民書局。
楊朝祥（民73），技術職業教育辭典，台北：三民書局。
樓玉玲（民87），以資料發掘技術分析政大通識課程，國立政治大學資訊管理研究所碩士論文。
鄧聚龍、郭洪，（民85），灰預測原理與應用，台北：全華圖書有限公司。
謝邦昌、葉瑞鈴（民89），統計在資料掘取之應用，主計月報，530期，頁67-84。
戴建耘、饒達欽（民89），技職校院課程上網規劃期末報告，台北：教育部技職司。
饒達欽（民74），技術職業教育理念與實施，台北：文學圖書。
二、英文部份
Anwar, T. M., Beck, H. W. and Navathe, S. B.（1992）. Knowledge Mining by Imprecise Querying：A Classification-Based Approach, IEEE 8th International Conference on Data Engineering, Phoenix, Arizona, 1992, pp622-630.
Berry, M. J. A. and Linoff, G.（1997）. Data mining Technique For Marketing, Sale, And Customer Support, Wiley Computer.
Chen, M. S., Han, J. and Yu, P. S.（1997）.Data Mining：An overview form Database Perspective, IEEE Transaction Knowledge and Data Engineering, December 1997, pp866-883.
Fayyad, U. M. （1996）. Data Mining and Knowledge Discovery：Making Sense out of Data, IEEE Expert, Vol.11, No.5, October 1996, pp20-25.
Frawley, W. J., Paitetsky-Shapiro G., Matheus, C. J.（1991）. Knowledge Discovery in Database：An Overview, Knowledge Discovery in Database, California, AAAI/MIT press, pp1-30.
Grupe, F. H. and Owrang, M. M.（1995）. Database Mining Discovery New Knowledge and Cooperative Advantage, Information System Management, Vol. 12, No.4, 1995, pp26-31.
Han, J., Cai, Y. and Cercone, N.（1991）. Conceptual-Based Data Classification in Relational Database, in workshop Notes of 1991 AAAI Workshop on Knowledge Discovery in Databases（KDD’91）, Anaheim, CA, July 1991, pp77-94.
Han, J., Cai, Y. and Cercone, N.（1995）.Discovery of Data Evolution Regularities in Large Database, Journal of Computer and Software Engineering, Vol.3, 1995, pp41-69.
Han, J., Cai, Y. and Cercone, N.（1992）. Knowledge Discovery in Database：An Attribute-Oriented Approach, Proceedings of the 18 th VLDB Conference, Canada, August, 1992, pp547-559.
Han, J., Fu, Y., and Ng, R.（1994）.Cooperative Query Answering Using Multiple Layered Database, in Proc. 2 rd int’l Conf. On Cooperative Information Systems（CoopIS’94）, Toronto, Canada, May 1994, pp47-58.
Hong, J. and Mao, C.（1991）.Incremental Discovery of Rules and Structure by Hierarchical and Parallel Clustering, Knowledge Discovery in Database, California, AAAI/MIT press, 1991, pp177-194.
Matheus, C. J., Chan, P. K. and Paitetsky-Shapiro, G.（1993）. Systems for Knowledge Discovery in Database, IEEE Transactions on Knowledge and Data Engineering, Vol.5, No.6, December 1993, pp903-913.
Mcleod, D. and Si, A.（1995）. The Design and Experimental Evaluation of An Information Discovery Mechanism for Networks of Autonomous Database System, The Eleventh International Conference on Data Engineering, March 1995, pp15-24.
Paitetsky-Shapiro, G.（1991）.Discovery, Analysis, and Presentation of Strong Rules, Knowledge Discovery in Databases, California, AAAI/MIT press, pp229-238.
Peterson,J.L（1981）.PETRI NET THEORY AND MODELING OF SYSTEM, Prentice-Hall,Inc., pp.1-30.
Symth, P. and Goodman, R. M.（1991）. Rule Induction Using Information Theory, Advance In Knowledge And Data Mining, California, AAAI/MIT press, pp156-176.
Verma D.（1990）. Administration of technical vocational education：principles and methods. Published by S. K. Ghai, Managing Director, Sterling Publisher Pvt., Ltd.
Yoon, J. P. and Kerschberg, L.（1993）. A Framework for Knowledge Discovery and Evolution in Database, IEEE Transaction Knowledge and Data Engineering, December 1993, pp973-979.