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題名：一個全球資訊網資料發掘的架構--以英語教學為例
書刊名：資訊管理學報
作者：楊亨利 引用關係／金士俊
作者(外文)：Yang, Heng-li／Chin, Shih-chun
出版日期：2001
卷期：7:2
頁次：頁143-181
主題關鍵詞：全球資訊網；資料發掘；知識發現；超文字文件結構；World wide web；Data mining；Knowledge discovery；HTML structure
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(3) 博士論文(1) 專書(1) 專書論文(0)
  • 排除自我引用排除自我引用:2
  • 共同引用共同引用:2
  • 點閱點閱:25
近幾年來，全球資訊網在網際網路上蓬勃發展，在網際網路上尋找資訊也變成一個熱門的課題。以目前的搜尋引擎與目錄服務的作法並無法找到真正有用的、潛在的資訊與知識。而有待進一步運用資料發掘的技術。但是，構成全球資訊網網頁之超文字遠比傳統的 關連式資料庫非結構化。本研究先對資料發掘、全球資訊網資料搜尋等文獻與現況進行整理分析，並整合OCLC與NCSA所建議Dublin Core以及Desai (1997) 的Semantic Header為基本的超文字文件結構，再針對選定的應用領域 (英語教學)，建議彈性擴充屬性。採用Han (1995) 的概念樹及多層次資料庫的觀念，提出一可行的全球資訊網上 資料發掘整體架構。最後，在Netscape瀏覽器上，以ASP語言、ODBC-JDBC橋接器結合SQL-Server的資料庫以及JESS知識庫發展一包含行業領域規則的資料發掘系統雛形。
In recent years, a number of applications on Wor1d Wide Web (WWW) on Internet have grown rapidly. A unresolved problem of finding information on Internet has emerged. It is difficult for current search engines or directory services to identify valid, novel potentially useful patterns in data. Someone might hope to apply the techniques of data mining (or called knowledge discovery). However, the web pages written in HTML (Hyper Text Markup Language) are more unstructured than traditional relational database. This research began with a literature review of data mining & WWW data searching and evalu­ated the current business practice. The Dublin Core proposed by American OCLC and NCSA (1996) and semantic header proposed by Desai (1997) was modified as our HTML basic structure e1ements. This research a1so suggested some augmented attributes in a selected application domain (the English education) . The concept hierarchy and multiple layered database suggested by Han (1995) were adopted. Finally, we applied the ASP language and ODBC- JDBC bridge to construct a data mining prototype integrating the SQL Server database with the JESS knowledge base (containing industry domain rules) in a Netscape browser environment.
期刊論文
1.陳仕昇、許秉瑜、陳彥良(19991200)。以可重複序列挖掘網路瀏覽規則之研究。資管評論，9，53-71。  延伸查詢new window
2.Lewinson, L.(1993)。Data mining: intelligent technology gets down to business。PCAI，7(6)，16-23。  new window
3.Cercone, Nick、Cai, Yandong、Han, Jiawei(1993)。Data-Driven Discovery of Quantitative Rules in Relational Databases。IEEE Transactions on Knowledge and Data Engineering，5(1)，29-40。  new window
4.Fayyad, U. M.(1996)。Data Mining and Knowledge Discovery: Making Sense out of Data。IEEE Expert，11(5)，20-25。  new window
5.Chen, M.-S.、Park, J. S.、Yu, P. S.(1998)。Efficient Data Mining for Path Traversal Patterns。IEEE Transactions on Knowledge and Data Engineering，10(2)，209-221。  new window
6.Park, J. S.、Chen, M. S.、Yu, P. S.(1995)。An effective hash-based algorithm for mining association rules。Association for computing machinery special interest group on management of data，24(2)，175-186。  new window
7.Etzioni, Oren(1996)。The World-Wide Web: Quagmire or Gold Mine?。Communications of the ACM，39(11)，65-68。  new window
8.Grupe, F. H.、Owrang, M. M.(1995)。Data Base Mining Discovering New Knowledge and Cooperative Advantage。Information Systems Management，12(4)，26-31。  new window
9.Quinlan, J. R.(1987)。Simplifying decision trees。International Journal of Man-Machine Studies，27(3)，221-234。  new window
10.Swami, A.、Agrawal, R.、Imielinski, T.(1993)。Database mining: a performance perspective。IEEE Transactions on Knowledge and Data Engineering，5(6)，914-925。  new window
11.Chen, Ming-Syan、Han, Jiawei、Yu, Philip S.(1996)。Data Mining: An Overview from a Database Perspective。IEEE Transactions on Knowledge and Data Engineering，8(6)，866-883。  new window
12.Canale, M.、Swain, M.(1980)。On the theoretical bases of communicative approaches to language teaching and testing。Applied Linguistics，1(1)，1-47。  new window
13.楊亨利、林幸怡(19980900)。先前知識導向的資料發掘。中山管理評論，6(3)，903-946+762。new window  延伸查詢new window
14.Tuzhilin, A.、Dhar, V.(1993)。Abstract-Driven Pattern Discovery in Databases。IEEE Transactions on Knowledge and Data Engineering，5(6)，926-938。  new window
15.Huang, Y.、Cercone, N.、Cai, Y.、Han, J.(1995)。Discovery of data evolution regularities in large databases。Journal of Computer and Software Engineering，3(1)，41-69。  new window
16.Swami, A.、Houtsma, M.(1995)。Set-oriented Data Mining in Relational Databases。Data & Knowledge Engineering，17(3)，245-262。  new window
17.Kerschberg, L.、Yoon, J. P.(1993)。A Framework for Knowledge Discovery and Evolution in Databases。IEEE Transactions on Knowledge and Data Engineering，5(6)，973-979。  new window
18.Desai, B. C.(1997)。Supporting Discovery in Virtual Libraries。Journal of the American Society for Information Science，48(3)，190-204。  new window
19.Resnick, P.、Miller, J.(1996)。PICS: Internet Access Controls Without Censorship。Communications of the ACM，39(10)，87-93。  new window
20.Schwartz, M. F.、Emtage, A.、Kahle, B.、Neuman, B. C.(1992)。A Comparison of Internet Resource Discovery Approaches。Computing Systems，5(4)，461-493。  new window
會議論文
1.Houtsma, M.、Swami, A.(1995)。Set-oriented mining for association rules in relational databases。International conference on data engineering，25-33。  new window
2.Han, J.、Cai, Y.、Cercone, N.(1992)。Knowledge discovery in databases: An attribute-oriented approach。The 18th International Conference on Very Large Data Bases。Vancouver。547-559。  new window
3.Han, J.、Fu, Y.(1995)。Discovery of Multiple-level Association Rules from Large Databases。Zürich, Switzerland。420-431。  new window
4.Agrawal, R.、Ghosh, S.、Imielinski, T.、Iyer, B.、Swami, A.(1992)。An Interval Classifier for Database Mining Applications。The 18th International Conference on Very Large Databases，560-573。  new window
5.Srikant, R.、Agrawal, R.(1995)。Mining Sequential Patterns。The Eleventh International Conference on Data Engineering。Taipei：IEEE Computer Society。3-14。  new window
6.Pei, J.、Han, J.、Mortazavi-asl, B.、Zhu, H.(2000)。Mining Access Patterns Efficiently from Web Logs。The 2000 Pacific-Asia Conference on Knowledge Discovery and Data Mining。Kyoto。396-407。  new window
7.Han, J.、Fu, Y.(1994)。Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases。Seattle, WA。  new window
8.Cheung, D. W.- L.、Han, J.、Fu, A. W.- C.(1994)。Knowledge Discovery in Databases: A Rule-Based Attribute-Oriented Approach。Charlotte, NC。164-173。  new window
9.Han, J.、Adhikary, J.、Kperski, K.(1996)。Spatial Data Mining: and Challenges。Montreal, Canada。  new window
10.Fu, Y.、Han, J.、Zaine, O. R.(1995)。Resource and Knowledge Discovery in Global Information Systems: A Scalable Multiple Layered Database Approach。Mclean, VA。  new window
11.Zaine, O. R.、Xin, M.、Han, J.(1998)。Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs。Santa Barbara, CA。19-29。  new window
學位論文
1.Zaine, O. R.(1999)。Resource and Knowledge Discovery from the Internet and Multimedia Repositories，0。  new window
2.周立平(1995)。從資料庫中發現法則：用學生修課的資料作分析，0。  延伸查詢new window
3.薛如芳(1995)。以歸納學習自關聯式資料庫中發掘知識，沒有紀錄。  延伸查詢new window
圖書
1.Kawano, H.、Nishio, S.、Han, J.(1994)。Knowledge discovery in object-oriented and active databases。Knowledge Building and Knowledge Sharing。沒有紀錄。  new window
2.Schwartz, M.、Danzing, P. B.、Manber, U.、Bowman, M.(1994)。A Scalable, Customizable Discovery and Access System。A Scalable, Customizable Discovery and Access System。Boulder。  new window
3.Frawley, W. J.、Paitetsky-Shapiro, G.、Matheus, C. J.(1997)。Knowledge Discovery in Databases: An Overview。Knowledge Discovery in Databases。California。  new window
4.Sperling, D.(1996)。The Internal Guide For English Language Teacher。The Internal Guide For English Language Teacher。Regents。  new window
其他
1.Koster, M.(1994)。The Web Robots FAQ，0。  new window
2.Raggett, D.(1997)。HTML 3.2 Reference Specification，0。  new window
3.W3C(2000)。Platform for Internet Content Selection，0。  new window
4.Weibel, S.(1996)。A Proposed Convention for Embedding Metadata in HTML，0。  new window
5.Weibel, S.，Godby, J.，Miller, E.(1996)。OCLC/ NCSA Metadata Workshop Report，0。  new window
圖書論文
1.Canale, Michael(1983)。From Communicative Competence to Communicative Language Pedagogy。Language and Communication。Longman。  new window
 
 
 
 
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