【1】 江姿慧，使用者參與虛擬社群之行為 研究，台灣科技大學資訊管理系碩士 論文，民國 89 年。
【2】 周立平，從資料庫中發現法則：用學 生修課的資料作分析，淡江大學資訊 工程研究所碩士論文，民國 84 年。
【3】 陳年興、陳建安，「Intranet 功能架構 之研究」，第八屆國際資訊管理學術 研討會論文集，頁 652-658。
【4】 陳仕昇，許秉瑜，陳彥良，「以可重 覆序列挖掘網路瀏覽規則之研究」，
資管評論，第九期，民國 88 年，頁 53-72。
【5】 陳建安，Intranet 功能架構與導入程 序之研究，中山大學資訊管理研究所 碩士論文,民國 86 年。
【6】 楊亨利、林俊宏，「組織構形與資訊 科技構形的配合」，管理評論，第 16 卷第 2 期，民國 86 年 7 月，頁 49-96。
【7】 楊亨利、金士俊，「一個全球資訊網 資料發掘的架構-以英語學為例」，資 訊管理學報，第七卷，第二期，民 90 年 1 月，頁 143-181。
【8】 薛如芳，以歸納學習法自關聯式資料 庫中發掘知識，交通大學資訊工程研 究所碩士論文，民國 84 年。
【9】 Agrawal, R., Ghosh, S., Imielinski, T.,Iyer, B. and Swami, A., “ An Interval Classifier for Database Mining Applications,” Proceeding of the 18th VLDB Conference, Vancouver, Canada, August, 1992, pp. 560-573.
【10】 Agrawal, R., Imielinski, T. and Swami, A., “ Database Mining: A Performance Perspective,” IEEE Transactions on Knowledge (5:6), December 1993, pp.914-925.
【11】 Agrawal, R. and Srikant, R.,
“Mining Sequential Patterns,” IEEE 11th International Conference on Data
Engineering, Taipei, Taiwan, March, 1995.
【12】 Ahituv, N., Neumann, S., and Zviran, M., "Factors Affecting the Policy for Distributing Computing Resources," MIS Quarterly, December 1989, pp.389-401.
【13】 Bowman, M.,Danzig, P. B.,Manber, U. and Schwartz, M., “A Scalable, Customizable Discovery and Access System,” Technical Report CU-CS-732-94, Department of CS, University of Colorado, Boulder, July, 1994.
【14】 Brass, D.J. and Burkhardt, M.E.,
“Centrality and Power in Organizations, ” in N. Nohria and R.G.(Eds.), Networks and Organizations: Structure, Form, and Action, Harvard Business School Press, Boston, Massachusetts, 1992, pp.191-215.
【15】 Chen, M. S., Han, J. and Yu, P. S.
“ Data Mining: An Overview from Database Perspective,” IEEE Transaction Knowledge and Data Engineering, December, 1996, pp.886-883.
【16】 Chen, M. S., Park, J.S. and Yu, P. S.
“ Efficient Data Mining for Path Traversal Patterns,” IEEE Transaction
on Knowledge and Data Engineering, April 1998, pp. 209-221.
【17】 Cohen, W. M. and Levinthal, D. A.,
“ Absorptive Capacity: A New Perspective On Learning and Innovation, ” Administrative Science Quarterly (35),1990, pp.128-152.
【18】 Davenport, T.H. and Prusak, L., Working Knowledge: How Organizations Manage What They Know, Boston: Harvard Business School Press, 1998.
【19】 Desai, B. C., “Supporting Discovery in Virtual Libraries,”
Journal of the American Society for Information Science (48:3), Mar 1997, pp.190-204.
【20】 Dhar, V. and Tuzhilin, A.,
“Abstract-Driven Pattern Discovery in Databases,” IEEE Transaction Knowledge and Data Engineering ( 5:6), December, 1993, pp.926-938.
【21】 Etzioni, O., “The World-Wide Web:
Quagmire or Gold Mine?”
Communications of ACM, (39:11), November, 1996, pp.65-68.
【22】 Fayyad, U.M., “Data Mining and Knowledge Discovery : Making Sense out of Data,” IEEE Expert (11:5), October, 1996, pp.926-938.
【23】 Fiedler, Grover, and Teng, “An
Empirically Derived Taxonomy of Information Technology Structure and Its Relationship to Organizational Structure, ＂Journal of Management Information Systems, Summer 1996 (13:1), pp. 9-34.
【24】 Frawley, W. J., Paitetsky-Shapiro, G. and Matheus C. J., “Knowledge Discovery in Databases : An Overview, ＂Knowledge Discovery in Databases, California, Edited by Paitetsky-Shapiro, G.. and Frawley, W.
J., AAAI/MIT Express, 1991, pp.1-30.
【25】 Friedman, R. and Krackhardt, D.,
“Social Capital and Career Mobility: A Structural Theory of Lower Returns to Education for Asian Employees,”
Journal of Applied Behavioral Science, (33: 3), 1997, pp.316-334.
【26】 Grupe, F. H. and Owrang, M. H.
“Data Base Mining Discovering New Knowledge and Cooperative Advantage,” Information System Management, (12: 4), Fall, 1995, pp.26-31.
【27】 Han, J., Cai, Y. and Cercone, N.,
“Knowledge Discovery in Databases : An Attribute-Oriented Approach,”
Proceeding of the 18th VLDB Conference, Canada, August, 1992, pp.
547-549.
【28】 Han, J., Cai, Y. and Cercone, N.,
“Data Driven Discovery of Quantitative Rules in Relation Databases,” IEEE Transaction Knowledge and Data Engineering (5:1), February, 1993, pp.29-40.
【29】 Han, J., Y. Cai, N. Cercone, and Huang, Y.” Discovery of Data Evolution Regularities in Large Databases,” Journal of Computer and Software Engineering, 3(1), 1995, pp.41-69.
【30】 Han, J. and Fu, Y., “Discovery of Multiple-Level Association Rules from Large Databases,” Proc. of 1995 Int'l Conf. on Very Large Data Bases (VLDB'95), Zuich, Switzerland, September 1995, pp. 420-431.
【31】 Han, J., Koperski, K. and Adhikary, J., “Spatial Data Mining: and Challenges,” 1996 SIGMOD'96 Workshop. on Research Issues on Data Mining and Knowledge Discovery (DMKD'96), Montreal, Canada, June 1996.
【32】 Han, J., Nishio, S. and Kawano, H.,
“ Knowledge Discovery in Object-Oriented and Active Databases,” F. Fuchi and T. Yokoi (eds.), Knowledge Building and
Knowledge Sharing, Ohmsha, Ltd. and IOS Press, 1994, pp. 221-230.
【33】 Han, J., Zaine, O. R., and Fu, Y.,
“Resource and Knowledge Discovery in Global Information Systems: A Scalable Multiple Layered Database Approach,” Proc. of a Forum on Research and Technology Advances in Digital Libraries (ADL'95), McLean, Virginia, May 1995.
【34】 Helleloid, D. and Bernard, S.,
“ Organizational Learning and a Firm’s Core Competence, ＂ in G.
Hemel G. & A. Heene (Eds.), Competence-Based Competition, New York: John Wiley, 1994.
【35】 Hendriks, P., “ Why Share Knowledge? The Influence of ICT on Motivation for Knowledge Sharing,＂
Knowledge and Process Management, (6:2), 1999, pp.91-100,.
【36】 Houtsma, M. and Swami, A.,
“Set-Oriented Data Mining in Relational Databases,” Data &
Knowledge Engineering, (17:3), September, 1995, pp.245-162.
【37】 Intranet group of NASA, “ The Intranet White Paper-Definition, Benefits and Challenges,” 1995,
Available from http://pscinfo.pscni.nasa.gov/intranet/h
tml/home.html/.
【38】 Javenpaa, S.L. and Ives, B.,
“Organizing for Global Competition:
The Fit of Information Technology,＂
Decision Sciences (24:3), 1992, pp.547-580.
【39】 Kalakota, R. and Whinston, A., Electronic Commerce: A Manager’s Guide, Addison-Wesley, 1997.
【40】 Leifer, R.P., “ Matching Computer-Based Information Systems with Organizational Structures,＂MIS Quarterly (12:1), March 1988, pp.63-73.
【41】 Mintzberg, H. “The Structuring of Organizations: A Synthesis of the Research, ＂ Englewood Cliffs, NJ:
Prentice-Hall,1979.
【42】 Nonaka, I. and Takeuchi, H., The Knowledge-Creating Company, Oxford University Press, 1995.
【43】 Pei, J., Han, J. Mortazavi-asl, B., and Zhu, H., “ Mining Access Patterns Efficiently from Web Logs,”
PAKDD’00 (Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Kyoto, Japan, April 2000.
【44】 Piatesky-Shaprio, G., “Discovery, Analysis and Presentation of Strong Rules,” in G. Piatesky-Spapiro and W.J.
Frawley (Eds.), Knowledge Discovery in Databases, AAAI/MIT Press, 1991, pp. 229-248.
【45】 Raggett, D., “HTML 3.2 Reference Specification,” W3C Organization,
1997, Available from http://www.w3c.org/TR/REC-html32.ht
m/.
【46】 Schwartz, M. F., Emtage, A., Kahle,B. and Neuman,B. C., “ A Comparison of Internet Resource Discovery Approaches,” Comput. Syst.
(5), Fall, 1992, pp. 461-493.
【47】 Siberschatz, A. and Tuzhilin, A.,
“On Subjective Measures of Interestingness in Knowledge Discovery,” First International Conference on Knowledge Discovery and Data Mining, August 1995.
【48】 Tellen, S. L., “ The IntraNet Architecture: Managing information in the new Paradigm,” Available from http://www.amdahl.com/doc/products/b sg/intra/infra.html/.
【49】 Weibel, S., “ A Proposed Convention for Embedding Metadata in HTML, ＂ 1996, Available from http://www.oclc.org:5046/~weibel/html -meta.html/.
【50】 Weibel, S., Godby J., and Miller E.,
“ OCLC/NCSA Metadata Workshop
Report,” 1996, Available from http://www.oclc.org:5046/oclc/researc h/…rences/metadata/dublin_core_repo rt.html/.
【51】 Yoon, J. P. and Kerschberg, L., “A Framework for Knowledge Discovery and Evolution in Databases,” IEEE Transactions on Knowledge and Data Engineering (5:6), December, 1993, pp.973-979.
【52】 Zack, M.H., “Managing Codified Knowledge,” Sloan Management Review (40:4), Summer 1999, pp.45-58.
【53】 Zaine, O.R., Resource and Knowledge Discovery from the Internet and Multimedia Repositories, Ph.D., Simon Fraser University of Computer Science, 1999.
【54】 Zaine, O. R., Xin, M., and Han, J,
“Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs,”
Proc. Advances in Digital Libraries Conf. (ADL'98), Santa Barbara, CA, April 1998, pp. 19-29.