一個企業內網路使用記錄之資料發掘架構

A Data Mining Framework for Intranet Logs

10.6188/JEB.2003.5(2).03

楊亨利(Heng-Li Yang)；賴冠龍(Kuan-Long Lai)

企業內網路 ； 使用記錄 ； 關聯規則 ； 特性規則 ； 資料發掘 ； Intranet ； Usage Log ； Association Rule ； Characteristic Rule ； Data Mining

電子商務學報

5卷2期（2003 / 09 / 01）

37 - 59

繁體中文

以往對全球資訊網的資料發掘主要侷限於網際網路上，而發掘的規則也分別是有關網頁內容或使用者紀錄，沒有看到兼具兩者的知識。然而，隨著企業內網路的運用日益廣泛，有關其資料發掘的研究也日益重要。本研究把「資料內容」與「使用者紀錄」加以結合，另方面，也考慮到發掘之前置處理工作，提出一個具有學術價值及實務可行的使用紀錄資料發掘架構，來發掘企業內網路中所隱含的兼具「特性規則」及「關聯規則」之使用行為知識。同時以JAVA建置一個雛形系統，來驗證其可行性。

Most of past researchers have only paid attentions to data mining on Internet. Their mining rules are either related to Web content or Web Usage, but not to both. Since the applications on Intranet have become widespread, its related data mining is now important. This research has combined ”Web content” and ”Web usage” data, and proposed an intranet data mining framework, which should be academically valuable and practically feasible. It includes the pre-processing phase of data mining. The framework would be used to find out the combination of characteristic rules and association rules, which would imply some usage behaviors. In addition, we will implement a prototype in JAVA to test the feasibility of the framework.

1. Kim, Yong-Soo,Yum, Bong-Jin(2002).Identification of Navigational Paths of Users Routed through Proxy Servers for Web Usage Mining.Asia Pacific Management Review,7(4)
   連結：
2. 楊亨利 Yang, Heng-Li、金士俊 Chin, Shih-Chun(2001)。一個全球資訊網資料發掘的架構－以英語教學為例 A Data Mining Framework in a WWW Environment - Taking English Teaching as the Domain Example。資訊管理學報 Journal of Information Management，7(2)
   連結：
3. Agrawal, R.,Ghosh, S.,Imielinski, T.,Iyer, B.,Swami, A.(1992).Proceedings of the 18th Very Large Data Base Conference.Vancouver, Canada:
4. Agrawal, R.,Imielinski, T.,Swami, A.(1993).Database mining: a performance perspective.IEEE Transactions on Knowledge and Data Engineering,5(6)
5. Agrawal, R.,Srikant, R.(1995).Institute of Electrical and Electronic Engineers 11th International Conference on Data Engineering.Taipei, Taiwan:
6. Allen, C.,Kania, D.,Yaeckel, B.(1998).Internet World Guide to One-to-One Web Marketing.New York:Wiley.
7. Brin, S.,Page, L.(1998).Seven International World Wide Web Conference.Brisbane, Australia:
8. Chakrabati, S.,Dom, B.,Gibson, D.,Kleinberg, J.,Kumar, S.,Raghavan, P.,Rajagopalan, S.,Tomkins, A.(1999).Mining the Link Structure of the World Wide Web.IEEE Computer,32(8)
9. Chen, Ming-Syan,Han, Jiawei,Yu, Philip S.(1996).Data Mining: An Overview from Database Perspective.IEEE Transactions on Knowledge and Data Engineering,8(6)
10. Chen, Ming-Syan,Park, J. S.,Yu, P. S.(1998).Efficient Data Mining for Path Traversal Patterns.IEEE Transactions on Knowledge and Data Engineering,10(2)
11. Chu,C. H.,Chen, T. S.,Yang, C. C.(2000).第六屆資訊管理研究與實務研討會.
12. Cooley, R.,Mobasher, B.,Srivastava, J.(1999).Data Preparation for Mining World Wide Web Browsing Patterns.Knowledge and Information Systems,1(1)
13. Cooley, R.,Mobasher, B.,Srivastava, J.(1997).Proceedings of the 9th Institute of Electrical and Electronic Engineers International Conference on Tools with Artificial Intelligence(ICTAI 97).
14. Dhar, V.,Tuzhilin, A.(1993).Abstract-Driven Pattern Discovery in Databases.IEEE Transaction on Knowledge and Data Engineering,5(6)
15. Etzioni, O.(1996).The World-Wide Web: Quagmire or Gold Mine?.Communications of the ACM,39(11)
16. Fayyad, U. M.(1996).Data Mining and Knowledge Discovery: Making Sense out of Data.IEEE Expert,11(5)
17. Framwley, W. J.,Paitetsky-Shapiro, G.,Matheus, C. J.(1991).Knowledge Discovery in Databases.California:AAAI/MIT Express.
18. Grupe, F. H.,Owrang, M. H.(1995).Data Base Mining Discovering New Knowledge and Cooperative Advantage.Information Systems Management,12(4)
19. Hallman-Baker, P. M.,Behlendorf(2000).Extended Log File Format.
20. Han, J.,Cai Y.,Cercone, N.(1993).Data Driven Discovery of Quantitative Rules in Relation Databases.IEEE Transaction on Knowledge and Data Engineering,5(1)
21. Han, J.,Cai, Y.,Cercone, N.(1992).Proceeding of the 18th Very Large Data Base Conference.Canada, August:
22. Han, J.,Cai, Y.,Cercone, N.(1991).Knowledge Discovery in Databases.AAAI/MIT Press.
23. Han, J.,Fu, Y.(1995).Proc. of 1995 Int'l Conf. on Very Large Data Bases (VLDB'95).Zuich, Switzerland:
24. Han, J.,Koperski, K.,Adhikary, J.(1996).1996 SIGMOD'96 Workshop.Montreal, Canada:
25. Han, J.,Nishio, S.,Kawano, H.(1994).Knowledge Building and Knowledge Sharing.Ohmsha, Ltd. and IOS Press.
26. Han, J.,Zaine O. R.,Fu, Y.(1995).Proc. of a Forum on Research and Technology Advances in Digital Libraries (ADL'95).Mclean, Virginia:
27. Houtsma, M.,Swami, A.(1995).Institute of Electrical and Electronic Engineers 11th International Conference on Data Engineering.Taipei, Taiwan:
28. Kleinberg, J. M.(1998).Proc. of ACM-SIAM Symposium on Discrete Algorithms.
29. Kosala, R.,Blockeel, H.(2000).Web Mining Research: a Survey.SIGKDD Explorations,2(1)
30. Lewinson, L.(1993).Data Mining: Intelligent Technology Gets Down to Business.PC AI,7(6)
31. Lin, Y. C.,Lin, J. L.(1998).第九屆國際資訊管理學術研討會.
32. Mobasher, B.,Jain, N.,Han, E.,Srivastava, J.(1996).Web Mining: Pattern Discovery from World Wide Web Transactions.Department of Computer Science, University of Minnesota.
33. Park, J. S.,Chan, M. S.,Yu, P. S.(1995).Proc. of the 1995 ACM SIGMOD.SanJose, California:
34. Pei, J.,Han, J.,Mortazavi-asl, B.,Zhu, H.(2000).Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining.Kyoto, Japan:
35. Quinlan, J. R.(1987).Simplifying Decision Trees.International Journal of Man-Machine Studies,27(3)
36. Schwartz, M. F.,Emtage, A.,Kahle, B.,Neumann, B. C.(1992).A Comparison of Internet Resource Discovery Approaches.Computing Systems,5(4)
37. Srivastava, J.,Cooley, R.,Deshpande, M.,Tan, P. N.(2000).Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data.SIGKDD Explorations,1(2)
38. Yoon, J. P.,Kerschberg, L.(1993).A Framework for Knowledge Discovery and Evolution in Databases.IEEE Transactions on Knowledge and Data Engineering,5(6)
39. Zaine, O. R.(1999).Resource and Knowledge Discovery from the Internet and Multimedia Repositories.Simon Fraser University of Computer Science.
40. Zaine, O. R.,Xin, M.,Han, J.(1998).Pro. Advances in Digital Libraries Conf. (ADL'98).
41. 宋振裕(1996)。一個漸進式資料庫知識擷取的方法。新竹:國立交通大學資訊工程研究所。
42. 李俊宏 、吳志鴻(2000)。第六屆資訊管理研究與實務研討會。
43. 孫允理(1997)。企業網路在辦公室應用之實作。淡江大學資訊工程研究所。
44. 陳仕昇 Chen, Shih-Sheng、許秉瑜 Hsu, Ping-Yu、陳彥良 Chen, Yen-Liang(1999)。以可重複序列挖掘網路瀏覽規則之研究 Mining Web Traversal Rules with Sequences。資管評論 MIS Review，9
45. 陳哲閎(1997)。Intranet上一般化工作流程管理系統的設計與實作。國立臺灣大學資訊管理系。
46. 陳博智(1997)。歸納邏輯程式在知識庫修正及知識發掘之運用。新竹:國立交通大學資訊工程研究所。
47. 陳榮靜 Chen, Rung-Ching、沈慧宇(2000)。第六屆資訊管理研究與實務研討會。
48. 黃明正 、苑守慈 Yuan, Soe-Tsyr(1999)。第五屆資訊管理研究與實務研討會。
49. 楊子青 Yang, Tz-Chin(2000)。購物車資料在網站行銷溝通決策之應用。高雄:國立中山大學資訊管理系。
50. 楊亨利 Yang, Heng-Li、林幸怡 Lin, Hsing-Yi(1998)。先前知識導向的資料發掘 The Prior Knowledge Approach to Data Mining。中山管理評論 Sun Yat-Sen Management Review，6(3)
51. 楊亨利 Yang, Heng-Li、郭家佑(2000)。資料庫中空間性週期關聯規則之發掘。中華管理評論 Web Journal of Chinese Management Review，3(2)
52. 賴香菊 Lai, Hsiang-Chu,楊子青 Yang, Tz-Chin(2000).Proceedings of the 33rd Hawaii International Conference on System Sciences.
53. 薛如芳(1995)。以歸納學習法自關聯式資料庫中發掘知識。新竹:國立交通大學資訊工程研究所。
54. 顏秀珍(1997)。從大型資料庫中有效發掘之方法探討。新竹:國立清華大學資訊科學研究所。