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題名 資料挖掘之導入與影響－以銀行業為例
作者 張妤莉
Chang, Yu-Li
貢獻者 洪順慶
張妤莉
Chang, Yu-Li
關鍵詞 資料挖掘
銀行
Data mining
Bank
日期 2001
上傳時間 18-Apr-2016 16:22:35 (UTC+8)
摘要 我國目前針對資料挖掘之研究，尚處於萌芽時期，相關之研究、期刊與商業文章等，散見於學術論文及報章間，但針對資料挖掘於管理面及企業實際導入層面的研究目前相當匱乏。因此本研究嘗試從管理層面來探討企業如何導入資料挖掘，並藉由深度訪談個案公司的方式，描述我國目前的應用情況。
參考文獻 【中文部分】
1.林欲仁（民89），「資料倉儲應用實例之建置與系統效能分析之研究」，國立屏東科技大學資訊管理研究所未出版碩士論文。
2.林文修（民87），「Data mining探索（上）」，叡陽資訊經營決策論壇，第13期。
3.林文修（民87），「Data mining探索（下）」，叡陽資訊經營決策論壇，第14期。
4.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。
5.劉欽宏（民80），「影響企業採用新科技關鍵因素之研究」，國立政治大學企業管理研究所未出版碩士論文。
6.鄭啟仲（民89），「企業導入資料倉儲之研究以銀行業為例」，國立中正大學資訊管理研究所未出版碩士論文。
7.林珊珊(民83)，「影響企業資訊科技評估與引進策略之實證研究」，國立中山大學資訊管理研究所未出版碩士論文。
8.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未出版碩士論文。
9.叡揚金融事業部（民86），「金融業以資訊科技建立雙贏的顧客關係」，叡陽資訊經營決策論壇，第12期，http://www.gss.com.tw/。
【英文部分】
1.Anwar, T. M., Beck, H. W. & Navathe, S. B.（1992）, " Knowledge Mining by Imprecise Querying：A Classification-Based Approach ", IEEE 8th International Conference on Data Engineering, Phoenix, Arizona, pp622-630.
2.A. Pieter & Z. Dolf (1996), " Data Mining ", Addison Wesley Longman.
3.Berry, M.J.A. & G. Linoff (1997), " Data Mining Technique for Marketing, Sale, And Customer Support ", New York: Wiley Computer.
4.Benjamin, Robert I & Eliot Levinson (1993), " A Framework for Managing IT-Enabled Change ", Sloan Management Review, Vol.34, No.4, summer, pp23-33.
5.Berson, Alex, Stephen Smith & Kurt Thearling (2000), " Building Data mining Applications for CRM ", New York： McGraw-Hill.
6.Brachman, Ronald J, Tom Khabaza, Willi Kloesgen, Gregory Piatetsky-Shapiro & Evangelos Simoudis (1996), " Mining Business Databases ", Communications of the ACM, New York, Vol. 39, No. 11, Nov., pp.42-48.
7.Peter Cabena (1998), " Discovering Data mining： from Concept to Implementation ", Upper Saddle River, N.J.： Prentice Hall.
8.H. Curt (1995), " The Devile`s in The Detail: Techniques, Tools, and Applications for Data Mining and Knowlegde Discovery-Part 1 ", Intelligent Software Strategies, Vol. 6,No. 9,pp. 3.
9.Paul Decker (1998)," Making a Difference with Data Mining ", Banking Strategies Chicago, Mar.-Apr., Vol.74, Iss.2, pp10-12.
10.Devlin, B. A. & Murphy, P. T. (1988). "An Architecture for a Business and Information System ", IBM Systems Journal, 27(1).
11.Robin Fairlie (1990), " The Marketing Person`s Guide to Database Marketing & Direct Mail ", UK: Bardon-Chinese Media Agency.
12.Fayyad, Usama M., G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (1996), " Advances in Knowledge Discovery and Data Mining ", AAAI/MIT Press.
13.Fayyad, Usama, Piatetsky-Shapiro Gregory & Padhraic Smyth (1996)," The KDD Process for Extracting Useful Knowledge from Volumes of Data ", Communications of the ACM, Vol.39, No.11 Nov., pp.27-34.
14.Frawley, Andrew & Kurt Thearling (1999), " Increasing Customer Value by Integrating Data Mining and Campaign Management Software ", Direct Marketin, Vol.61, No.10, pp. 49-53.
15.Frawley, W. J., G. Piatetsky-Shapiro & C. J. Matheus (1991), " Knowledge Discovery in Databases: an Overview in Knowledge Discovery in Databases " Cambridge, MA: AAAI/MIT, pp. 213-228.
16.F. Gallegos (1999), " Data Warehousing: a Strategic Approach ", Information Strategy: The Executive`s Journal, Vol. 16 Issue 1, 41-47.
17.Gray, P. & Watson, H. J. (1998 summer), " Present and Future Directions in Data Warehousing ", The DATA BASE for Advances in Information Systems, 29(3), pp. 83-90.
18.Norton Greenfeld (1996)," Data Mining", UNIX Review, Vol. 14, No. 5, pp.9-14.
19.Grupe, F. H. & Owrang, M. M.（1995）, " Database Mining Discovery New Knowledge and Cooperative Advantage ", Information System Management, Vol. 12, No.4, pp26-31.
20.Hammer, Michael & James Champy (1993), " Reengineering the Corporation-A Manifesto for Business Revolution ", Nicholas Brealey Publishing Limited.
21.Hannan, T.H. & McDowell, J.M. (1984), " Market Concentration and the Diffusion of New Technology in The Banking Industry ", The Review of Economics and Satistics, Vol.66, No.4, pp.686-691.
22.Ho Ha, Sang & Chang Park (1998)," Application of Data Mining Tools to Hotel Data Mart on the Internet For Database Marketing ", Expert Systems with Applications, Vol.15, Sung, pp1-31.
23.J. V. D. Hoven (1998 Spring)," Data Warehousing: Bringing It All Together " Information Systems Management, spring, Vol. 15, Iss. 2,pp.92-95.
24.W. H. Inmon (1996), " Building the Data Warehouse ", QED Publishing Group.
25.P. M. Keen (1993), " Information Technology and the Management Difference: A Fusion Map ", IBM Systems Journal, 32, pp. 17-39.
26.Sean Kelly (1997), " Data Warehousing in Action ", New York: John Wiley & Sons
27.Kettinger, W. V. Grover, S. Guha, &. Segars, A.（1994）, " Strategic Information Systems Revisited: Study in Sustainability and Performance ", MIS Quarterly, pp. 31-58.
28.R. Kimball (1996)," The Data Warehouse Toolkit ", John Wiley & Sons.
29.Kimberly, J. R. & Evanisko, M. J.（1981）, " Organizational Innovation: The Influence of Individual, Organizational and Contextual Factors on Hospital Adoption of Technological and Administrative Innovations ", Academy of Management Journal, Vol.24.No.4, pp.689-713.
30.Donald C. Mann (1990)," How It`s Changing Your Business ", Bank Marketing, Aug., pp.30-34.
31.Gordon Linoff (1999)," Data Mining: The Intelligence Behind CRM ", Inform, Nov/Dec, pp18-24.
32.A. Murtaza (1998 Fall), " A Framework for Developing Enterprise Data Warehouses ", Information Systems Management, Boston; Vol. 15, Iss. 4.
33.Edward L. Nash (1993)," Database Marketing-The Ultimate Marketing Tool " New York: Mc Graw-Hill, Inc.
34.Peter R. Peacock (1998)," Data Mining in Marketing： Part 1 ", Marketing Management, Vol. 6, Iss.4, pp. 8-18.
35.Peter R. Peacock (1998)," Data Mining in Marketing： Part 2 ", Marketing Management, Vol. 7,Iss. 1,pp.14-25
36.Thomas Reinartz (1999), " Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains ", Berlin; New York, Springer.
37.Gary Saarenvirta (1998)," Data Mining to Improve Profitability ", CMA, Hamilton, Vol. 72, Iss. 2, Mar., pp.8-12.
38.Shaw, R. & M. Stone (1990), " Database Marketing: Strategy and Implementation ", New York: John Wiley and Sons.
39.Smyth, P. & Goodman, R.M.(1991),"Rule Induction Using Information Theory", Knowledge Discovery in Databases, California, AAAI/MIT Press, pp.159-176.
40.Scott L. Tillett (2000)," Banks Mine Customer Data ", Internet Week, Sep. 25, pp.45-48.
41.Yoon, J. P. and L. Kerschberg, (1993), " A Framework for Knowledge Discovery and Evolution in Database ", IEEE Transaction Knowledge and Data Engineering, December, pp973-979.
描述 碩士
國立政治大學
企業管理學系
88355011
資料來源 http://thesis.lib.nccu.edu.tw/record/#A2002001422
資料類型 thesis
dc.contributor.advisor 洪順慶zh_TW
dc.contributor.author (Authors) 張妤莉zh_TW
dc.contributor.author (Authors) Chang, Yu-Lien_US
dc.creator (作者) 張妤莉zh_TW
dc.creator (作者) Chang, Yu-Lien_US
dc.date (日期) 2001en_US
dc.date.accessioned 18-Apr-2016 16:22:35 (UTC+8)-
dc.date.available 18-Apr-2016 16:22:35 (UTC+8)-
dc.date.issued (上傳時間) 18-Apr-2016 16:22:35 (UTC+8)-
dc.identifier (Other Identifiers) A2002001422en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/85252-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 企業管理學系zh_TW
dc.description (描述) 88355011zh_TW
dc.description.abstract (摘要) 我國目前針對資料挖掘之研究，尚處於萌芽時期，相關之研究、期刊與商業文章等，散見於學術論文及報章間，但針對資料挖掘於管理面及企業實際導入層面的研究目前相當匱乏。因此本研究嘗試從管理層面來探討企業如何導入資料挖掘，並藉由深度訪談個案公司的方式，描述我國目前的應用情況。zh_TW
dc.description.tableofcontents 封面頁
證明書
致謝詞
論文摘要
目錄
表目錄
圖目錄
第一章 緒論
第一節 研究背景與動機
第二節 研究目的與問題
第三節 章節介紹
第二章 文獻探討
第一節 資料倉儲
第二節 資料挖掘
第三節 資料挖掘的商業應用
第三章 研究設計
第一節 觀念架構
第二節 研究方法
第三節 研究限制
第四章 個案描述
第一節 中國信託
第二節 華信銀行
第三節 大眾銀行
第四節 中興銀行
第五章 個案分析與命題發展
第一節 個案分析
第二節 命題發展
第六章 結論與建議
第一節 研究結論
第二節 研究建議
參考文獻		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#A2002001422en_US
dc.subject (關鍵詞) 資料挖掘zh_TW
dc.subject (關鍵詞) 銀行zh_TW
dc.subject (關鍵詞) Data miningen_US
dc.subject (關鍵詞) Banken_US
dc.title (題名) 資料挖掘之導入與影響－以銀行業為例zh_TW
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 【中文部分】
1.林欲仁（民89），「資料倉儲應用實例之建置與系統效能分析之研究」，國立屏東科技大學資訊管理研究所未出版碩士論文。
2.林文修（民87），「Data mining探索（上）」，叡陽資訊經營決策論壇，第13期。
3.林文修（民87），「Data mining探索（下）」，叡陽資訊經營決策論壇，第14期。
4.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。
5.劉欽宏（民80），「影響企業採用新科技關鍵因素之研究」，國立政治大學企業管理研究所未出版碩士論文。
6.鄭啟仲（民89），「企業導入資料倉儲之研究以銀行業為例」，國立中正大學資訊管理研究所未出版碩士論文。
7.林珊珊(民83)，「影響企業資訊科技評估與引進策略之實證研究」，國立中山大學資訊管理研究所未出版碩士論文。
8.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未出版碩士論文。
9.叡揚金融事業部（民86），「金融業以資訊科技建立雙贏的顧客關係」，叡陽資訊經營決策論壇，第12期，http://www.gss.com.tw/。
【英文部分】
1.Anwar, T. M., Beck, H. W. & Navathe, S. B.（1992）, " Knowledge Mining by Imprecise Querying：A Classification-Based Approach ", IEEE 8th International Conference on Data Engineering, Phoenix, Arizona, pp622-630.
2.A. Pieter & Z. Dolf (1996), " Data Mining ", Addison Wesley Longman.
3.Berry, M.J.A. & G. Linoff (1997), " Data Mining Technique for Marketing, Sale, And Customer Support ", New York: Wiley Computer.
4.Benjamin, Robert I & Eliot Levinson (1993), " A Framework for Managing IT-Enabled Change ", Sloan Management Review, Vol.34, No.4, summer, pp23-33.
5.Berson, Alex, Stephen Smith & Kurt Thearling (2000), " Building Data mining Applications for CRM ", New York： McGraw-Hill.
6.Brachman, Ronald J, Tom Khabaza, Willi Kloesgen, Gregory Piatetsky-Shapiro & Evangelos Simoudis (1996), " Mining Business Databases ", Communications of the ACM, New York, Vol. 39, No. 11, Nov., pp.42-48.
7.Peter Cabena (1998), " Discovering Data mining： from Concept to Implementation ", Upper Saddle River, N.J.： Prentice Hall.
8.H. Curt (1995), " The Devile`s in The Detail: Techniques, Tools, and Applications for Data Mining and Knowlegde Discovery-Part 1 ", Intelligent Software Strategies, Vol. 6,No. 9,pp. 3.
9.Paul Decker (1998)," Making a Difference with Data Mining ", Banking Strategies Chicago, Mar.-Apr., Vol.74, Iss.2, pp10-12.
10.Devlin, B. A. & Murphy, P. T. (1988). "An Architecture for a Business and Information System ", IBM Systems Journal, 27(1).
11.Robin Fairlie (1990), " The Marketing Person`s Guide to Database Marketing & Direct Mail ", UK: Bardon-Chinese Media Agency.
12.Fayyad, Usama M., G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy (1996), " Advances in Knowledge Discovery and Data Mining ", AAAI/MIT Press.
13.Fayyad, Usama, Piatetsky-Shapiro Gregory & Padhraic Smyth (1996)," The KDD Process for Extracting Useful Knowledge from Volumes of Data ", Communications of the ACM, Vol.39, No.11 Nov., pp.27-34.
14.Frawley, Andrew & Kurt Thearling (1999), " Increasing Customer Value by Integrating Data Mining and Campaign Management Software ", Direct Marketin, Vol.61, No.10, pp. 49-53.
15.Frawley, W. J., G. Piatetsky-Shapiro & C. J. Matheus (1991), " Knowledge Discovery in Databases: an Overview in Knowledge Discovery in Databases " Cambridge, MA: AAAI/MIT, pp. 213-228.
16.F. Gallegos (1999), " Data Warehousing: a Strategic Approach ", Information Strategy: The Executive`s Journal, Vol. 16 Issue 1, 41-47.
17.Gray, P. & Watson, H. J. (1998 summer), " Present and Future Directions in Data Warehousing ", The DATA BASE for Advances in Information Systems, 29(3), pp. 83-90.
18.Norton Greenfeld (1996)," Data Mining", UNIX Review, Vol. 14, No. 5, pp.9-14.
19.Grupe, F. H. & Owrang, M. M.（1995）, " Database Mining Discovery New Knowledge and Cooperative Advantage ", Information System Management, Vol. 12, No.4, pp26-31.
20.Hammer, Michael & James Champy (1993), " Reengineering the Corporation-A Manifesto for Business Revolution ", Nicholas Brealey Publishing Limited.
21.Hannan, T.H. & McDowell, J.M. (1984), " Market Concentration and the Diffusion of New Technology in The Banking Industry ", The Review of Economics and Satistics, Vol.66, No.4, pp.686-691.
22.Ho Ha, Sang & Chang Park (1998)," Application of Data Mining Tools to Hotel Data Mart on the Internet For Database Marketing ", Expert Systems with Applications, Vol.15, Sung, pp1-31.
23.J. V. D. Hoven (1998 Spring)," Data Warehousing: Bringing It All Together " Information Systems Management, spring, Vol. 15, Iss. 2,pp.92-95.
24.W. H. Inmon (1996), " Building the Data Warehouse ", QED Publishing Group.
25.P. M. Keen (1993), " Information Technology and the Management Difference: A Fusion Map ", IBM Systems Journal, 32, pp. 17-39.
26.Sean Kelly (1997), " Data Warehousing in Action ", New York: John Wiley & Sons
27.Kettinger, W. V. Grover, S. Guha, &. Segars, A.（1994）, " Strategic Information Systems Revisited: Study in Sustainability and Performance ", MIS Quarterly, pp. 31-58.
28.R. Kimball (1996)," The Data Warehouse Toolkit ", John Wiley & Sons.
29.Kimberly, J. R. & Evanisko, M. J.（1981）, " Organizational Innovation: The Influence of Individual, Organizational and Contextual Factors on Hospital Adoption of Technological and Administrative Innovations ", Academy of Management Journal, Vol.24.No.4, pp.689-713.
30.Donald C. Mann (1990)," How It`s Changing Your Business ", Bank Marketing, Aug., pp.30-34.
31.Gordon Linoff (1999)," Data Mining: The Intelligence Behind CRM ", Inform, Nov/Dec, pp18-24.
32.A. Murtaza (1998 Fall), " A Framework for Developing Enterprise Data Warehouses ", Information Systems Management, Boston; Vol. 15, Iss. 4.
33.Edward L. Nash (1993)," Database Marketing-The Ultimate Marketing Tool " New York: Mc Graw-Hill, Inc.
34.Peter R. Peacock (1998)," Data Mining in Marketing： Part 1 ", Marketing Management, Vol. 6, Iss.4, pp. 8-18.
35.Peter R. Peacock (1998)," Data Mining in Marketing： Part 2 ", Marketing Management, Vol. 7,Iss. 1,pp.14-25
36.Thomas Reinartz (1999), " Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real-World Domains ", Berlin; New York, Springer.
37.Gary Saarenvirta (1998)," Data Mining to Improve Profitability ", CMA, Hamilton, Vol. 72, Iss. 2, Mar., pp.8-12.
38.Shaw, R. & M. Stone (1990), " Database Marketing: Strategy and Implementation ", New York: John Wiley and Sons.
39.Smyth, P. & Goodman, R.M.(1991),"Rule Induction Using Information Theory", Knowledge Discovery in Databases, California, AAAI/MIT Press, pp.159-176.
40.Scott L. Tillett (2000)," Banks Mine Customer Data ", Internet Week, Sep. 25, pp.45-48.
41.Yoon, J. P. and L. Kerschberg, (1993), " A Framework for Knowledge Discovery and Evolution in Database ", IEEE Transaction Knowledge and Data Engineering, December, pp973-979.		zh_TW