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題名:應用資料探勘技術建構顧客流失預測模型
書刊名:商略學報
作者:林金賢謝欣樺
作者(外文):Lin, Chin-shienHsieh, Hsin-hua
出版日期:2021
卷期:13:3
頁次:頁159-176
主題關鍵詞:資料探勘顧客關係管理顧客流失決策樹羅吉斯迴歸Data miningCustomer relationship managementCustomer churnDecision treeLogistic regression
原始連結:連回原系統網址new window
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  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:1
  • 點閱點閱:6
期刊論文
1.Giraud-Carrier, C.、Povel, O.(2003)。Characterising data mining software。Intelligent Data Analysis,7(3),181-192。  new window
2.Verbeke, W.、Dejaeger, K.、Martens, D.、Hur, J.、Baesens, B.(2012)。New insights into churn prediction in the telecommunication sector: A profit driven data mining approach。European Journal of Operational Research,218(1),211-229。  new window
3.Lam, S. Y.、Shankar, V.、Erramilli, M. K.、Murthy, B.(2004)。Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration from a Business-to-Business Service Context。Journal of the Academy of Marketing Science,32(3),293-311。  new window
4.Hallowell, R.(1996)。The Relationships of Customer Satisfaction, Customer Loyalty, and Profitability: an Empirical Study。International Journal of Service Industry Management,7(4),27-42。  new window
5.Ngai, E. W. T.、Xiu, L.、Chau, D. C. K.(2009)。Application of data mining techniques in customer relationship management: A literature review and classification。Expert Systems with Applications,36(2),2592-2602。  new window
6.Choi, T. Y.、Hartley, J. L.(1996)。An exploration of supplier selection practices across the supply chain。Journal of Operations Management,14(4),333-343。  new window
7.Hsu, C.-C.、Kannan, V. R.、Leong, G. Keong、Tan, K.-C.(2006)。Supplier selection construct: instrument development and validation。The International Journal of Logistics Management,17(2),213-239。  new window
8.Wu, M. Y.、Weng, Y. C.(2010)。A study of supplier selection factors for high-tech industries in the supply chain。Total Quality Management & Business Excellence,21(4),391-413。  new window
9.Swani, K.、Brown, B. P.、Milne, G. R.(2014)。Should tweets differ for B2B and B2C? An analysis of Fortune 500 companies' Twitter communications。Industrial Marketing Management,43(5),873-881。  new window
10.Upton, David M.(1995)。What Really Makes Factories Flexible?。Harvard Business Review,73(4),74-84。  new window
11.Koh, Hian Chye、Chan, Kin Leong Gerry(2002)。Data mining and customer relationship marketing in the banking industry。Singapore Management Review,24(2),1-27。  new window
12.Gustafsson, A.、Johnson, M. D.、Roos, I.(2005)。The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention。Journal of Marketing,69(4),210-218。  new window
13.Sheu, J.-B.(2007)。A hybrid fuzzy-optimization approach to customer grouping-based logistics distribution operations。Applied Mathematical Modelling,31(6),1048-1066。  new window
14.Coussement, K.、Lessmann, S.、Verstraeten, G.(2017)。A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry。Decision Support Systems,95,27-36。  new window
15.齊德彰、洪敘峰(20110400)。供應商評估模式建構之新概念--SEM與RST之結合。資訊管理學報,18(2),17-42。new window  延伸查詢new window
16.De Caigny, A.、Coussement, K.、De Bock, K. W.(2018)。A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees。European Journal of Operational Research,269(2),760-772。  new window
17.Zhu, B.、Baesens, B.、Vanden Broucke, S. K.(2017)。An Empirical Comparison of Techniques for the Class Imbalance Problem in Churn Prediction。Information Sciences,408,84-99。  new window
18.Zeng, F.、Yang, Z.、Li, Y.、Fam, K.-S.(2011)。Small Business Industrial Buyers' Price Sensitivity: Do Service Quality Dimensions Matter in Business Markets?。Industrial Marketing Management,40(3),395-404。  new window
19.Wania, A.、Kühn, I.、Klotz, S.(2006)。Plant Richness Patterns in Agricultural and Urban Landscapes in Central Germany- Spatial Gradients of Species Richness。Landscape and Urban Planning,75(1/2),97-110。  new window
20.Sharma, R. R.、Sachdeva, R.(2017)。Evaluating Prediction of Customer Churn Behavior Based on Artificial Bee Colony Algorithm。International Journal of Engineering and Computer Science,6(1),20017-20021。  new window
21.Sabbeh, S. F.(2018)。Machine-Learning Techniques for Customer Retention: A Comparative Study。International Journal of Advanced Computer Science and Applications,9(2),273-281。  new window
22.Moeyersoms, J.、Martens, D.(2015)。Including High-cardinality Attributes in Predictive Models: A Case Study in Churn Prediction in The Energy Sector。Decision Support Systems,72,72-81。  new window
23.Miguéis, V. L.、Van den Poel, D.、Camanho, A. S.、Falcão e Cunha, J.(2012)。Modeling Partial Customer Churn: On the Value of First Product-category Purchase Sequences。Expert Systems with Applications,39(12),11250-11256。  new window
24.McCann, P.、Fingleton, B.(1996)。The Regional Agglomeration Impact of Just-In-Time Input Linkages: Evidence from the Scottish Electronics Industry。Scottish Journal of Political Economy,43(5),493-518。  new window
25.Maestrini, V.、Luzzini, D.、Caniato, F.、Ronchi, S.(2018)。Effects of Monitoring and Incentives on Supplier Performance: An Agency Theory Perspective。International Journal of Production Economics,203,322-332。  new window
26.Kaya, E.、Dong, X.、Suhara, Y.、Balcisoy, S.、Bozkaya, B.、Pentland, A. S.(2018)。Behavioral Attributes and Financial Churn Prediction。EPJ Data Science,7(1),1-18。  new window
27.Tamaddoni Jahromi, Ali、Stakhovych, Stanislav、Ewing, Michael(2014)。Managing B2B Customer Churn, Retention and Profitability。Industrial Marketing Management,43(7),1258-1268。  new window
28.Hansen, H.、Samuelsen, B. M.、Sallis, J. E.(2013)。The Moderating Effects of Need for Cognition on Drivers of Customer Loyalty。European Journal of Marketing,47(8),1157-1176。  new window
29.Gordini, N.、Veglio, V.(2017)。Customers Churn Prediction and Marketing Retention Strategies. An Application of Support Vector Machines Based on the Auc Parameter-selection Technique in B2B E-commerce Industry。Industrial Marketing Management,62,100-107。  new window
30.Datta, S.、Das, S.(2015)。Near-Bayesian Support Vector Machines for Imbalanced Data Classification with Equal or Unequal Misclassification Costs。Neural Networks,70,39-52。  new window
31.Brown, B. P.、Zablah, A. R.、Bellenger, D. N.、Donthu, N.(2012)。What Factors Influence Buying Center Brand Sensitivity?。Industrial Marketing Management,41(3),508-520。  new window
32.Bose, I.、Chen, X.(2009)。Quantitative Models for Direct Marketing: A Review from Systems Perspective。European Journal of Operational Research,195(1),1-16。  new window
33.Barfar, A.、Padmanabhan, B.、Hevner, A.(2017)。Applying Behavioral Economics in Predictive Analytics for B2B Churn: Findings from Service Quality Data。Decision Support Systems,101,115-127。  new window
34.Amin, A.、Al-Obeidat, F.、Shah, B.、Adnan, A.、Loo, J.、Anwar, S.(2019)。Customer Churn Prediction in Telecommunication Industry Using Data Certainty。Journal of Business Research,94,290-301。  new window
35.Stalk, George Jr.(1988)。Time: The Next Source of Competitive Advantage。Harvard Business Review,66(4),41-51。  new window
36.Dickson, G. W.(1966)。An Analysis Of Vendor Selection Systems And Decisions。Journal of Purchasing,2(1),5-17。  new window
37.Van den Poel, D.、Larivière, B.(2004)。Customer attrition analysis for financial services using proportional hazard models。European Journal of Operational Research,157(1),196-217。  new window
會議論文
1.Weiss, G. M.、McCarthy, K.、Zabar, B.(2007)。Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?。The International Conference on Data Mining。  new window
2.Vadakattu, R.、Panda, B.、Narayan, S.、Godhia, H.(2015)。Enterprise Subscription Churn Prediction。2015 IEEE International Conference on Big Data。  new window
3.Qabbaah, H.、Sammour, G.、Vanhoof, K.(2017)。Data Mining Techniques to Improve the Response Rate of E-mail campaigns and Customer Loyalty。The International Conference of Technology Innovation, Management and Entrepreneurship。  new window
4.Mitrovic, S.、Singh, G.、Baesens, B.、Lemahieu, W.、De Weerdt, J.(2017)。Scalable RFM-enriched Representation Learning for Churn Prediction。2017 International Conference on Data Science and Advanced Analytics,79-88。  new window
5.Figalist, I.、Elsner, C.、Bosch, J.、Olsson, H. H.(2019)。Customer Churn Prediction in B2B Contexts。The International Conference on Software Business。  new window
6.Alamsyah, A.、Salma, N.(2018)。A Comparative Study of Employee Churn Prediction Model。2018 4th International Conference on Science and Technology。  new window
7.Ahmed, S. R.(2004)。Applications of Data Mining in Retail Business。International Conference on Information Technology: Coding and Computing。  new window
研究報告
1.Ogino, S.(2017)。The Standout E-Commerce Customer Loyalty Platform Stats of 2017。  new window
2.Bounsaythip, C.、Rinta-Runsala, E.(2001)。Overview of Data Mining for Customer Behavior Modeling。  new window
圖書
1.Heeringa, Steve G.、West, Brady、Berglund, Patricia A.(2010)。Applied Survey Data Analysis。Chapman & Hall/CRC。  new window
2.Fitzsimmons, J. A.、Fitzsimmons, M. J.(2000)。Service management: operations, strategy, information technology。McGraw-Hill。  new window
3.Zumel, N.、Mount, J.、Porzak, J.(2014)。Practical Data Science with R。Manning Publications。  new window
4.Schroeder, R. G.(2000)。Operations Management: Contemporary Concepts and Cases。McGraw‐Hill/Irwin。  new window
5.Russo, I.、Confente, I.(2017)。Customer Loyalty and Supply Chain Management: Business-to-Business Customer Loyalty Analysis。Routledge。  new window
 
 
 
 
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