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https://ah.lib.nccu.edu.tw/handle/140.119/85374| 題名: | 企業網路下之資料發掘 Data Mining in the Intranet Enviroment |
作者: | 金士俊 Chin, Shi-Chun |
貢獻者: | 楊亨利 Yang, Heng-Li 金士俊 Chin, Shi-Chun |
關鍵詞: | 資料發掘 知識發現 企業網路 知識管理 Data Mining Knowledge Discovery Intranet Knowledge Management |
日期: | 2001 | 上傳時間: | 18-Apr-2016 | 摘要: | 近幾年來，企業網路在各大小企業中蓬勃發展，因此而產生在企業網路上尋找資訊的問題。對於許多掌握其企業網路的複雜程度尚存在困難的企業來說，要從其企業網路上大量的文件中找出真正有用的、潛在的資訊與知識，誠非易事。因此有待以較深入的思考構面對於各企業的企業網路架構進行檢視，才能找出適當的資料發掘做法與技術，以解決此一難題。本研究先對資料發掘，企業網路等文獻與現況進行整理分析，並提出與企業網路複雜程度相關之參考思考構面並定義簡單型與複雜型的企業網路。然後以Han（1995）之概念樹及多層次資料庫的觀念，採用我們對於網際網路資料發掘所提出的理論架構與作法（楊亨利與金士俊,民90），特別著重企業在授權與知識視野上的思考，提出簡單型與複雜型企業網路下對資料內容發掘的架構，設計適用於簡單型與雜型企業網路之資料發掘系統，並部份實作其雛形，以驗証其可行性，並評估其日後實務操作之其他可能。 In recent years, with the widespread use of the Intranet, Intranet data searching has become an important but problematic issue. Since a lot of enterprises still have difficulty in evaluating the complexity of their Intranet systems, it is an extremely demanding task for them to identify valid and potentially useful patterns from the huge amount of documents in the Intranet. In order to solve this problem, it is essential to take a close and careful examination of the different Intranet frameworks, so that appropriate data mining approaches and techniques can be worked out. |
參考文獻: | 【1】 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.\r\n【2】 Agrawal, R., Imielinski, T. and Swami, A.,“Database Mining: A Performance Perspective,” IEEE Transactions on Knowledge, Vol.5, No.6, December 1993, pp.914-925.\r\n【3】 Agrawal, R. and Srikant, R., “Mining Sequential Patterns,” IEEE 11th International Conference on Data Engineering, Taipei, Taiwan, March, 1995.\r\n【4】 Bernard, R., “The Corporate Intranet: Create and Manage an Internal Web for Your Organization, ” New York, NY:John Wiley & Sons,1996.\r\n【5】 Berners-Lee, T., Cailliau, R., Pellow., and Secret, A., “The World Wide Web, ” Communications of the ACM, Vol. 37, No 8, August 1994,p.76-82.\r\n【6】 Bos, B. “New Working Draft of XML published, ” W3C Organization, 1999, Available from http://cgi.w3.org/Archives/Public/www-talk/1997NovDec/ 0008.html.\r\n【7】 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.\r\n【8】 Brass, D.J. & Burkhardt, M.E., “Centrality and Power in Organizations, ” in Nohria, N. &R.G.(Eds.), Networks and Organizations: Structure, Form, and Action, Harvard Business School Press, Boston, Massachusetts,1992, pp.191-215.\r\n【9】 Brin,S., Motwani,R. and Silverstein,C. “Beyond Market Baskets: Generalizing Association Rules to Correlations, ” SIFMOS Conference ,1997, pp265-276.\r\n【10】 Canale, M. (1983) “From Communicative Competence to Communicative Language Pedagogy,” In J. Richards & R. Schmidt (eds.) Language & Communication. pp.2-27. Longman,London.\r\n【11】 Canale, M. & Swain, M (1980) “Theoretical Bases of Communicative Approach to Second Language Teaching and Testing,” Applied Linguistics. 1-47.\r\n【12】 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.\r\n【13】 Cheung, D. W-L, Fu, A. W-C, and Han, J., “Knowledge Discovery in Databases: A Rule-Based Attribute-Oriented Approach,”in Proc. Of 1994 International Symp. On Methodologics for Intelligent Systems (ISMIS’94), Charlotte, North Carolina, October 1994, pp.164-173.\r\n【14】 Codd, I. F., Codd, S. B., and Salley C.T., “Providing OLAP (On-line Analytical Processing) to User-Analysts: An IT Mandate, ” http://www.hyperion.com/whitepapers.cfm, May 2000.\r\n【15】 Computer Computer Service, “ FAQ - Intranet,” 1997, Available from http://www.onsite.net/faq/intranet.htm/.\r\n【16】 CSC Distributed Systems Messaging Section under the direction of MSFC/A152, “The Intranet -Definition, Benefits, Challenges,” 1995, Available from http://pscinfo.pscni.nasa.gov/intranet/html/home.html/.\r\n【17】 Davenport, T.H., & Prusak L., “Working Knowledge: How Organizations Manage What They Know,”Boston: Harvard Business School Press, 1998.\r\n【18】 Desai, B. C., “Supporting Discovery in Virtual Libraries,” Journal of the American Society for Information Science, Vol.48, No.3, Mar 1997, pp.190-204.\r\n【19】 Dhar, V. and Tuzhilin, A., “Abstract-Driven Pattern Discovery in Databases,” IEEE Transaction Knowledge and Data Engineering, Vol. 5, No.6, December, 1993, pp.926-938.\r\n【20】 Etzioni, O., “The World-Wide Web: Quagmire or Gold Mine?” Communications of ACM, Vol.39, No.11, November, 1996, pp.65-68.\r\n【21】 Fayyad, U. M., “Data Mining and Knowledge Discovery : Making Sense out of Data,” IEEE Expert, Vol.11, No.5, October, 1996, pp.926-938.\r\n【22】 Feldman, R., and Dagan I., “Knowledge Discovery in Textual Databases(KDT),” Proc. the First International Conference on Knowledge Discovery and Data Mining, Montreal, Canada, Aug, 1995, pp.112-117.\r\n【23】 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.\r\n【24】 Friedman, R. & Krackhardt, D., “Social Capital and Career Mobility: A Structural Theory of Lower Returns to Education for Asian Employees, ” Journal of Applied Behavioral Science, Vol.33. No3, 1997, pp.316-334.\r\n【25】 Grabpmslo, T., “ Intranets Thomas Grabonski Turn Key Solutions,” 1997, Available from http://www.tksolutions.com/Intranet/sld003.htm/.\r\n【26】 Grupe, F. H. and Owrang, M. H. “Data Base Mining Discovering New Knowledge and Cooperative Advantage,” Information System Management, Vol.12, No. 4, Fall, 1995, pp.26-31.\r\n【27】 Han, J., Cai, Y. and Cercone, N., “An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases,” in Proc. 6th Int`l Conf. on Data Engineering (ICDE`90), Los Angeles, CA, February 1990, pp. 281-288.\r\n【28】 Han, J., Cai, Y. and Cercone, N., “Attribute-Oriented Induction in Relational Databases,” in G. Piatetsky-Shapiro and W. J. Frawley (eds.), Knowledge Discovery in Databases, AAAI/MIT Press, 1991, pp. 213-228.\r\n【29】 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.\r\n【30】 Han, J., Cai, Y. and Cercone, N., ”Data Driven Discovery of Quantitative Rules in Relation Databases,” IEEE Transaction Knowledge and Data Engineering, Vol. 5, No.1, Feburary, 1993, pp.29-40.\r\n【31】 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.\r\n【32】 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.\r\n【33】 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.\r\n【34】 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.\r\n【35】 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.\r\n【36】 Han,J., Lu,H. and Feng.L., “Stock Movement and N-Dimensional Inter-Transaction Association Rules, ” Proc. of 1998 SIGMOD’96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD’98), Seattle, Washington, June 1998, pp.12:1-12:7.\r\n【37】 Han, J., Chee, S., and Chiang, J.Y., “Issue for On-Line Analytical Mining of Data Warehouse,” Proc. Of 1998 SIGMOS’96 Workshop on Research Issues on Data Mining and Knowledge Discovery (DNKD’98), Seattle, Washington, June 1998, pp.2:1-2:5.\r\n【38】 Han, J., Zhou, X. and Truffet, D., “Efficient Ploygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining, ”Proc. 6th Int. Symp. on Large Spatial Database (SSD’99) , Hong Kong, July 1999.\r\n【39】 Han, J., Pei, J., Modrtazavi-asl, B. and Zhu, H., “Mining Access Patterns Efficiently From Web Logs, ” Proc. 2000 Pacific- Asia Conf. On Knowledge Discovery and Data Mining (PAKDD’00), Kyoto, Japan, April 2000.\r\n【40】 Helleloid, D. & Bernard, S. “Organizational Learning and a Firm’s Core Competence, ” Hemel & Heene (ed.) Competence-Based Competition, 1994.\r\n【41】 Hendriks, P.,“Why Share Knowledge? The Influence of ICT on Motivation for Knowledge Sharing, ”Knowledge and Process Management. Vol.6, No.2, pp.91-100,1999.\r\n【42】 Hope, J., “Competing in the 3rd Wave: The Ten Key Management Issues of the Information Age,” 1997.\r\n【43】 Houtsma, M. and Swami, A., “Set-Oriented Data Mining in Relational Databases,” Data & Knowledge Engineering, Vol.17, No.3, September, 1995a, pp.245-162.\r\n【44】 Houtsma, M. and Swami, A., “Set-Oriented Data Mining for Association Rules in Relational Databases,” IEEE 11th International Conference on Data Engineering , Taipei, Taiwan, March, 1995 b, pp.25-33.\r\n【45】 Intranet group of NASA, “ The Intranet White Paper-Definition, Benefits and Challenges,” 1995, Available from http://pscinfo.pscni.nasa.gov/intranet/html/home.html/.\r\n【46】 Janz, B., Colquitt, J., Noe, R., “Knowledge worker team effectiveness: The role of autonomy, interdependence, team development, and contextual support variables, ”Personal Psychology. Durham, Winter, 1997.\r\n【47】 Jbarra, H., & Andrews, S.B., “Power, Social Influence, and Sense Making: Effects of Network Centrality and Proximity on Employee Perceptions,” Administrative Science Quarterly, Vol.38, 1993, pp.277-303.\r\n【48】 JSB Computer Systems, “ The Intranet-A Corporate Revolution,” 1997, Available from http://www.intranet.co.uk/intrapaperset.html/.\r\n【49】 Kalakota, R., Whinston, A., Electronic Commerce,1997.\r\n【50】 Kim, Linsu,“Crisis Construction and Organizational Learning : Capability Building in Catching-up at Hyundai Motor, ”Organization Science, Vol.9, No.4, 1998, pp.506-521.\r\n【51】 Kirk Dean Fiedler, Varun Grover, James T.C. Teng, “An Empirically Derived Taxonomy of Information Technology Structure and Its Relationship to Organizational Structure, ”Journal of Management Information Systems, Summer 1996,Vol.13. No.1, pp9-34.\r\n【52】 Koster, M., “The Web Robots FAQ,” Nexor Corp., 1994, Available from http://info.webcrawler.com/mak/projects/robots/faq.html.\r\n【53】 Lewinson., “Data Mining:Intelligent Technology Gets Down To Business,” PC AI, Vol7, Vo.6 November/December 1993, pp.16-23.\r\n【54】 LPI Software Funding Group, “ March Commentary of The Month - The Dominance of The Intranet,” 1997, Available from http://www.lpilease.com/column.htm/.\r\n【55】 May, G., “ Definitions,” 1997, Available from http://www.nim.com.au/inet_pub/in03002.htm#in03005/.\r\n【56】 Microsoft Corporation, “Using Firewalls, ”Microsoft TechNet BORK Sampler, February 1997.\r\n【57】 Millikin, M., “Practical Advice for Implementing Corporate Intranets, ” Telecommunications, April, 1996, pp.34-37.\r\n【58】 Mintzberg, H. “The Structuring of Organizations: A Synthesis of the Research, ”Englewood Cliffs, NJ: Prentice-Hall,1979.\r\n【59】 Nonaka, I., Takeuchi, H., “The Knowledge-Creating Company, ” Oxford University Press, Inc., 1995.\r\n【60】 Quinlan, J. R., “Induction of Decion Trees,” Machine Learning, Vol1, No.1, 1986, pp. 81-106.\r\n【61】 Park, J. S.,Chan, M.S. and Yu, P.S. “An Effective Hash-Based Alorithm for Mining Association Rules,” Proc. of the 1995 ACM SIGMOD, SanJose, California, May ,1995, pp.207-216.\r\n【62】 Raggett, D., “HTML 3.2 Reference Specification,” W3C Organization, 1997, Available from http://www.w3c.org/TR/REC-html32.htm/.\r\n【63】 Robert,G. ,“Data Mining: a hands-on approach for business professionals,”Prentice Hall Inc, 1998.\r\n【64】 Schwartz, M. F., Emtage, A., Kahle,B. and Neuman,B. C., “A Comparison of Internet Resource Discovery Approaches,” Comput. Syst., No.5, Fall, 1992, pp. 461-493.\r\n【65】 Sheth, A.P. and Larson, J.A., “Federated Database System for Managing Distributed, Heterogenous, and Automous Database,” ACM Computing Surveys, Vol 22, No. 3, September 1990, pp.183~236.\r\n【66】 Silberschatz,A. and Tuzhilin,A., “What Makes Patterns Interesting in Knowledge Discovery Systems,” IEEE Transactions on Knowledge and Data Engineering, 8, pp.970-974,1996.\r\n【67】 Sperling, D., The Internet Guide For English Language Teacher, Prentice Hall, Regents, 1996.\r\n【68】 Srikant,R. and Agrawal,R., “Mining Quantitative Association Rules in Large Relational Tables, ”SIGMOD 1996,pp.1-12.\r\n【69】 Telleen, S. L., “ The IntraNet Architecture: Managing information in the new Paradigm,” Available from http://www.amdahl.com/doc/products/bsg/intra/infra.html/.\r\n【70】 Thomas J., P., David G., Carolyn., “ Network Strategy Service: The Full Service Intranet,” 1996, Available from http://www.forrester.com/hp_mar96nsr.htm/.\r\n【71】 Tung,A.K.H., Lu,H., Han,J. and Feng,L. “Breaking the Barrier of Transactions : Mining Inter-Transaction Association Rules, ” Proc. 1999 Int. Conf. On Knowledge Discovery and Data Mining (KDD’99), San Diego, CA, Aug. 1999.\r\n【72】 Weibel, S., “A Proposed Convention for Embedding Metadata in HTML,” 1996, Available from http://www.oclc.org:5046/~weibel/html-meta.html/.\r\n【73】 Weibel, S., Godby J., and Miller E., “OCLC/NCSA Metadata Workshop Report,” 1996, Available from http://www.oclc.org:5046/oclc/research/…rences/metadata/dublin_core_report.html/.\r\n【74】 Yoon, J. P. and Kerschberg, L., “A Framework for Knowledge Discovery and Evolution in Databases,” IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No.6, December, 1993, pp.973-979.\r\n【75】 Zack, Michael H., “Management Review, ” summer, 1999, pp.45-58.\r\n【76】 Zaine, O. R., “Resource and Knowledge Discovery from the Internet and Multimedia Repositories,” Ph.D., Simon Fraser University of Computer Science, 1999.\r\n【77】 江姿慧, “使用者參與虛擬社群之行為研究, ”臺灣科技大學資訊管理研究所碩士論文,民國八十九年\r\n【78】 成吉思系統股份有限公司,“Firewall的種類, ”民國八十七年, http://www.genghis.com.tw/.\r\n【79】 何玉菁, “1000KW以上用電戶負載特性資料庫與Intranet的建置, ”臺灣工業技術學院管理技術研究所碩士論文,民國八十六年\r\n【80】 沈清正,陳仕昇,高鴻斌,張元哲,陳家仁,黃琮盛,陳彥良“資料間隱含關係的發展與展望,”二十一世紀台灣湧現中的資訊管理議題專家研討會論文集,民國九十年四月。\r\n【81】 吳宜真, “臺灣地區Intranet校園應用之研究, ”大葉大學資訊管理研究所碩士論文, ”民國八十七年。\r\n【82】 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,民國八十四年。\r\n【83】 張思源, “揭開防火牆的神秘面紗, ”網路通訊雜誌,第七十九期,民國八十七年二月, pp.106-109.\r\n【84】 林俊宏, “組織構形與資訊科技構形之配合研究-服務業為例, ”政治大學資訊管理研究所碩士論文, 民國八十五年。\r\n【85】 林頎堯, “電子報虛擬新聞室 Intranet 網路系統雛形建構-以交清電子報為例, ”交通大學傳播研究所碩士論文,民國八十八年。\r\n【86】 范嘉燕,“半導體產業發展Intranet之關鍵成功因素, ”中正大學資訊管理研究所碩士論文,民國八十七年。\r\n【87】 孫允理,“企業網路在辦公室應用之實作,”淡江大學資訊工程研究所碩士論文,民國八十六年。\r\n【88】 陳孝先, “企業網際網路在土木報修上之應用, ”交通大學土木工程研究所碩士論文,民國八十六年。\r\n【89】 陳柏宏, “建構以Intranet為基礎的行銷資訊系統之研究 以行銷市場區隔系統為例, ”成功大學工業管理研究所碩士論文,民國八十八年。\r\n【90】 陳哲閎, “Intranet上一般化工作流程管理系統的設計與實作, ”臺灣大學資訊管理學研究所碩士論文, 民國八十六年。\r\n【91】 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,pp652-658。\r\n【92】 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,民國八十六年。\r\n【93】 彭舒歆, “企業網路於海運承攬運送業之應用-以提單處理流程為例, ”臺灣海洋大學航運管理研究所碩士論文,民國八十七年。\r\n【94】 黃瑞祥, “校務行政Web化資料流程管理之分析與建置-以省立高中職學校教職員工差勤處理系統為例, ”台灣師範大學工業教育研究所碩士論文,民國八十八年。\r\n【95】 曾慰親,“台灣地區企業內網路(Intranet)發展現況及關鍵成功因素之研究, ”政治大學資訊管理研究所碩士論文,民國八十六年。\r\n【96】 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：143頁,民國九十年。\r\n【97】 楊宗翰,“企業網路下主從資料庫之應用-以旅行業為例, ”臺灣科技大學管理技術研究所碩士論文,民國八十八年。\r\n【98】 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,民國八十四年。\r\n【99】 網路資訊, “現代企業如何利用Intranet提高利潤, ”網路資訊,民國八十五年。\r\n【100】 熊達之,“國內企業規劃導入企業內部網路(Intranet)應用之探索性研究,”淡江大學資訊管理研究所碩士論文,民國八十六年。\r\n【101】 蔡聰源, “Web based 主管資訊系統的規劃研究, ”長庚大學管理學研究所碩士論文,民國八十七年。\r\n【102】 蔡耀松,“Internet的趨勢與應用, ”RUN!PC,民國八十五年。\r\n【103】 簡基元, “整合資訊倉儲建構以工作為導向之企業資訊服務系統, ”交通大學資訊管理研究所碩士論文,民國八十七年。 | 描述: | 碩士 國立政治大學 資訊管理學系 86356026 |
資料來源: | http://thesis.lib.nccu.edu.tw/record/#A2002001589 | 資料類型: | thesis |
| Appears in Collections: | 學位論文 |
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