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題名:顧客流失分析模式之個案研究--以臺灣H健康休閒俱樂部為例
書刊名:臺灣體育運動管理學報
作者:陳麒文
作者(外文):Chen, Chi-wen
出版日期:2007
卷期:5
頁次:頁124-149
主題關鍵詞:資料採礦顧客流失鑑別分析羅吉斯迴歸人工類神經網路多元適應性雲形迴歸Data miningCustomer churnDiscriminant analysisLogistic RegressionArtificial neural networksMultivariate adaptive Regression splines
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(2) 博士論文(2) 專書(0) 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:20
  • 點閱點閱:44
期刊論文
1.陳鐵銘、夏載(20010400)。剖析資料採礦在顧客關係管理中的應用。電子化企業經理人報告,20,71-75。  延伸查詢new window
2.數博網(2001)。歹年冬資料採礦度小月。動腦雜誌,304,44-46。  延伸查詢new window
3.Fisher, R. A.(1936)。The Use of Multiple Measurements in Taxonomic Problems。Annals of Eugenics,7,179-188。  new window
4.Hwang, D. Y.、Lee, C. F.、Liaw, K. T.(1997)。Forecasting bank failures and deposit insurance premium。International Review of Economics and Finance,6(3),317-334。  new window
5.Khirallah, K.(1999)。Should retail banks race toward the one-to-one future?。Bank Technology News,12(4),41-43。  new window
6.Lee, H.、Jo, H.、Han, I.(1997)。Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis。Expert Systems With Applications,13,97-108。  new window
7.Smarajit, B.(1996)。Classification Using Splines。Computational Statistics and Data Analysis,22,505-525。  new window
8.Sung, T. K.、Chang, N.、Lee, G.(1999)。Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction。Journal of Management Information Systems,16,63-85。  new window
9.Trevino, L. J.、Daniels, J. D.(1995)。FDI theory and foreign direct investment in the United States: a comparison of investors and non-investors。International Business Review,4,177-194。  new window
10.Matheus, C. J.、Chan, P. K.、Piatetsky-Shapiro, G.(1993)。Systems for knowledge discovery in databases。IEEE Transactions on Knowledge and Data Engineering,5(6),903-913。  new window
11.龔昶元(19980900)。Logistic Regression模式應用於信用卡信用風險審核之研究--以國內某銀行信用卡中心為例。臺北銀行月刊,28(9),35-49。  延伸查詢new window
12.邱志洲、李天行、周宇超、呂奇傑(20020300)。整合鑑別分析與類神經網路在資料探勘上之應用。工業工程學刊,19(2),9-22。new window  延伸查詢new window
13.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
14.Piatetsky-Shapiro, G.(1993)。An overview of knowledge discovery in database: Recent progress and challenges。Rough Sets, Fuzzy Sets and Knowledge Discovery--Proceedings of the International Workshop on Rough Sets and Knowledge Discovery,93,1-10。  new window
15.施致平(19990900)。從邏輯斯諦迴歸(Logistic Regression)論運動參與之預測。體育學報,27,21-30。new window  延伸查詢new window
16.Browne, M. J.、Hoyt, R. E.(1995)。Economic and market predictors of insolvencies in the property-liability insurance industry。Journal of Risk and Insurance,62(2),309-327。  new window
17.Dahya, J.、Lonie, A. A.、Power, D. M.(1998)。Ownership structure, firm performance and top executive change: an analysis of UK firms。Journal of Business Finance & Accounting,25(9/10),1089-1118。  new window
18.Efron, B.(1975)。The efficiency of logistic regression compared to normal discriminant function analysis。Journal of the American Statistical Association,70,892-898。  new window
19.Vellido, Alfredo、Lisboa, Paulo J. G.、Vaughan, J.(1999)。Neural networks in business: A survey of applications (1992-1998)。Expert Systems with Applications,17(1),51-70。  new window
20.Kim, J. C.、Kim, D. H.、Kim, J. J.、Ye, J. S.、Lee, H. S.(2000)。Segmenting the Korean Housing Market Using Multiple Discriminant Analysis。Construction Management & Economics,18(1),45-54。  new window
21.Desai, V. S.、Crook, J. N.、Overstreet, G. A. Jr.(1996)。A Comparison of Neural Networks and Linear Scoring Models in the Credit Union Environment。European Journal of Operational Research,95(1),24-37。  new window
22.Fish, K. E.、Barnes, J. H.、Aiken, M. W.(1995)。Artificial neural networks: A new methodology for industrial market segmentation。Industrial Marketing Management,24(5),431-438。  new window
23.Friedman, Jerome H.(1991)。Multivariate Adaptive Regression Splines。The Annals of Statistics,19(1),1-67。  new window
24.Zhang, Guoqiang、Patuwo, B. Eddy、Hu, Michael Y.(1998)。Forecasting with artificial neural networks: the state of the art。International Journal of Forecasting,14(1),35-62。  new window
25.Griffin, W. L.、Fisher, N. I.、Friedman, J. H.、Ryan, C. G.(1997)。Statistical Techniques for the Classification of Chromites in Diamond Exploration Samples。Journal of Geochemical Exploration,59(3),233-249。  new window
26.Fayyad, Usama M.、Piatetsky-Shapiro, Gregory、Smyth, Padhraic(1996)。From Data Mining to Knowledge Discovery in Databases。AI Magazine,17(3),37-54。  new window
會議論文
1.Stotlar, D. K.(1999)。關係行銷法在體適能產業的運用。1999健康體能與有氧運動大會,行政院體育委員會主辦 。臺北。  延伸查詢new window
2.陳麒文、陳鴻雁(2001)。Data Mining於運動行銷上之應用。中華民國運動資訊與傳播協會主辦之「2001年體育科技與資訊」研討會。  延伸查詢new window
研究報告
1.Friedman, J. H.(1988)。Multivariate Adaptive Regression Splines。  new window
2.Friedman, J. H.(1990)。Multivariate Adaptive Regression Splines。Stanford, CA:Department of Statistics, Stanford University。  new window
學位論文
1.張政一(2001)。類神經網路於有價證券預測股價及漲跌之研究(碩士論文)。中國文化大學,臺北。  延伸查詢new window
2.魯振華(2001)。人壽保險廣告類型有效性的預測模式--應用類神經網路(碩士論文)。逢甲大學。  延伸查詢new window
3.Werbos, P. J.(1974)。Beyond regression: new tools for prediction and analysis in the behavioral sciences(博士論文)。Harvard University。  new window
4.黃雅蘭(2001)。台灣股價指數期貨套利之研究--類神經網路與灰色理論之應用(碩士論文)。國立臺灣科技大學。  延伸查詢new window
5.劉嘉鴻(2000)。整合灰預測及類神經網路模型研究股市盤後期貨價格之資訊內涵:以摩根台股指數及日經225指數為例(碩士論文)。輔仁大學。  延伸查詢new window
6.王信勝(2001)。整合分析層級程序與類神經網路之信用評分模型(碩士論文)。輔仁大學。  延伸查詢new window
7.呂奇傑(2001)。演化式類神經網路分類技術於資料探勘上之應用(碩士論文)。輔仁大學。  延伸查詢new window
8.吳國禎(2000)。資料探索在醫學資料庫之應用(碩士論文)。中原大學。  延伸查詢new window
9.周慶華(2001)。整合基因演算法及類神經網路於現貨開盤指數之預測--以新加坡交易所摩根台股指數期貨為例(碩士論文)。輔仁大學。  延伸查詢new window
10.彭慧雯(2001)。建構信用卡資料挖礦架構及其實證研究(碩士論文)。國立臺北科技大學。  延伸查詢new window
11.賴欣儀(2000)。消費者風險態度與資金運用行為對銀行信用卡業務影響之研究(碩士論文)。國立中山大學。  延伸查詢new window
12.蔡裕春(2001)。台灣地區營造工程物價指數預測之研究--以類神經網路與ARIMA模式(碩士論文)。輔仁大學。  延伸查詢new window
13.江世傑(2001)。模糊類神經網路在消費性貸款之應用(碩士論文)。國立成功大學。  延伸查詢new window
14.蘇文娟(2000)。台灣上市企業財務危機預測之實證研究(碩士論文)。國立東華大學。  延伸查詢new window
15.許峻源(2001)。類神經網路與MARS於資料探勘分類模式之應用(碩士論文)。輔仁大學。  延伸查詢new window
圖書
1.Cooper, D. R.、Emory, C. W.(1998)。Business research method。Chicago:Irwin。  new window
2.Johnson, R. A.、Wichem, D. W.(1998)。Applied multivariate staristical analysis。NJ:Prentice-Hall Inc。  new window
3.Newell, F.(2000)。Loyalt.com: Customer relationship management in the new era of internet marketing。New York:McGraw-Hill。  new window
4.Salford System(2000)。MARS V2.0-for windows 95/98/NT。San Diego, CA:Salford System。  new window
5.Berry, Michael J. A.、Linoff, Gordon S.(1997)。Data Mining Techniques: For Marketing, Sales and Customer Support。New York:John Wiley & Sons, Inc.。  new window
6.葉怡成(1992)。類神經網路模式應用與實作。臺北:儒林書局。  延伸查詢new window
7.羅家德(2001)。網際網路關係行銷。臺北:聯經出版社。  延伸查詢new window
8.Cios, K. J.、Pedrycz, W.、Swiniarski, R.(1998)。Data mining methods for knowledge discovery。Boston, Massachusetts:Kluwer Academic Publishers。  new window
9.Cabena, P.、Hadjinian, P. O.、Stadler, R.、Verhees, J.、Zanasi, A.(1997)。Discovering data mining: From concept to implementation。Prentice Hall。  new window
10.Vesta Services(1998)。Qnet97-neural network modeling for windows 95/98/NT。Winnetka, IL:Vesta Services, Inc。  new window
11.Walters, S.(1994)。Customer service: A how-to-do-it manual for librarians。New York:Neal-Schuman Publishing。  new window
12.Peppers, D.、Rogers, M.(1993)。The future of one to one: Building business relationships one customer at a time。New York:Currency Doubleday。  new window
13.謝邦昌(2001)。資料採礦入門及應用--從統計技術看資料採礦。臺北:資商訊息顧問股份有限公司。  延伸查詢new window
14.Hosmer, D. W.、Lemeshow, S.(1989)。Applied logistic regression。New York:John Wiley and Sons。  new window
15.Berson, Alex、Smith, Stephen J.、Thearling, Kurt(2000)。Building data mining applications for CRM。New York:McGraw-Hill。  new window
16.Freeman, James A.、Skapura, David M.(1992)。Neural networks algorithms, applications, and programming techniques。Addison-Wesley Publishing Company。  new window
17.Odum, Eugene P.(1971)。Fundamental of Ecology。W. B. Saunders, Co.。  new window
其他
1.The Technology Review Ten(2001)。MIT Technology Review,http://www.technologyreview.com/magazine/jan01/tr10_toc.asp。  new window
 
 
 
 
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