Dissertation > Excellent graduate degree dissertation topics show

A Research on the Credit Card Client Activating and Response Extent Based on Data Mining

Author: LiuLuJun
Tutor: ChenQiang
School: Shandong University
Course: Financial Engineering
Keywords: data mining credit card clients activating and response extent
CLC: F832.2
Type: Master's thesis
Year: 2011
Downloads: 54
Quote: 0
Read: Download Dissertation

Abstract


Credit card is a kind of advanced paying and settlement tool. At present both the government and the commercial banks are making much effort to push on electronic finance, so the use of credit card is increasingly much more common. With the clients’ groupe becoming more and more large, the development of credit card is changing from a rough pattern to a intensive pattern, and more and more data mining technologies will be applied to credit card business. For a great mount data comes into being in clients’ applying and using credit card, it is necessary for the banks issuing card to creat an effective clients classifying model through data mining and other kinds of technology. This paper will probe our country’s intensive credit card business via data mining’s positivistic verifying analysis. The main contents are the followings:1. put forward a transforming concept of the developmental stage of our country’s credit card busines is changing from a rouch pattern to a intensive pattern. With the rapid development recently, the data on the size of our country’s credit card’s clients, the clients’information and activites cumulate effectively, and data mining technoloty will be very common in all sorts of banks.2.review the status quo of applying data mining technoloty in and out our country, analysize data mining technoloty’s chief funcations, common methods and the major procedure, and gain some theoretic and practical knowledge concerning Stata and SAS analysis system.3. analyze the data mining technology’s application in credit card business’s management, including market expanding management and risk management.4. reseach the credit card using period of the clients, including potential, sleeping, active and outflow clients, which is the base of building a model analysis.5. construct a classifying pattern of the credit card clients by data mining technique and on the basis of the characteristics of the clients; analyze the important factors influencing the credit card’s sleeping and active condition through Stata logic regress analsis method, and the focus is to model application treatment of sleeping and active clients in order to deal with the problem of the low activity of account in credit card busines and less response in clients’marketing.

Related Dissertations

  1. A Study on Healthcare Product Marketing Based on Data Mining Technology,F426.72
  2. Gao Zhong-ying academic thought and experience and use of Bufei Decoction treatment of common diseases of the respiratory system drug law,R249.2
  3. Bing- thick academic thought and clinical experience and empirical studies apply to turtle soups treatment of chronic kidney disease,R249.2
  4. The Design and Implementation of Bicluster Data Analyzing Software,TP311.52
  5. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  6. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  7. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  8. Based on data mining research tax audit case selection,F812.42
  9. Community-oriented education, personalized learning system and its implementation,TP391.6
  10. Association rule mining based Intrusion Detection System Research and Implementation,TP393.08
  11. Data warehouse technology in the banking customer management systems research and implementation,TP315
  12. Design to E-learning System in Senior Vocational School Base on Moodle,TP311.52
  13. Design and Development of Teaching Quality Assessment System Based on Data Mining,TP311.13
  14. The Application of Association Rules Algorithm in Higher Vocational Colleges’ Endorsement of Impoverished Students,G717
  15. Based on Data Mining Technologies in Urban Water Supply Analysis and Decision,F299.24;F224
  16. Research on Application of Data Mining Technology in Degree of Satisfaction Analysis of Television Customers,TP311.13
  17. Web Usage Mining and the Research of Personalized Recommendation,TP311.13
  18. Data Mining of Application in the School Management and Training Students,TP311.13
  19. Research on Employment Monitoring System of University Graduate,G647.38
  20. Design and Implementation for Decision Support System of Drug Administration Based on Data Warehouse,TP311.13

CLC: > Economic > Fiscal, monetary > Finance, banking > China's financial,banking > Banking system and business
© 2012 www.DissertationTopic.Net  Mobile