Dissertation > Excellent graduate degree dissertation topics show

Data mining technology based clustering algorithm

Author: ZengChaoQun
Tutor: WuKun
School: Central South University
Course: Probability Theory and Mathematical Statistics
Keywords: Data Mining Clustering algorithm Credit card
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 321
Quote: 4
Read: Download Dissertation

Abstract


Data mining can be called knowledge database found , it is found in large amounts of data and extract hidden in one of the trusted , innovative , effective and can be understood mode process . Data mining to solve the deficiencies of the conventional analysis methods , and be able to carry out large-scale data analysis process . Data mining from large amounts of data to extract useful information hidden behind the data , provides a great help for the people of the right decisions . In recent years , with the changes in the improvement of China's national income and spending habits of urban residents , the credit card business in China has been rapid development of rich client resources and considerable profits for each commercial bank . The credit card is becoming increasingly fierce competition in the Chinese market , but highly competitive makes each card-issuing bank easing restrictions for audit apply for credit cards , ignoring the risk management and control . (1) This article describes the development status and the basic principles of data mining technology , data mining and discuss the significance of technology in the credit card business . (2) a set of data acquisition, conversion and mining in one of the data mining system , and a more detailed description of its main features . (3) cluster analysis in the financial industry has much room for excavation . Cluster analysis method is introduced to the analysis of credit card applications . Visits by customers , the bank's basic information and basic level , the establishment of a more comprehensive evaluation index system , to measure whether the customers need for bank credit card potential customers . Empirical studies have shown that this method can help banks to review the application of potential customers with effectiveness and practicality . Robustness of the model is good , easy to understand , high efficiency , to help banks more objective , consistent , quickly make a judgment on the new applicant for credit card applications , to better promote the development of the bank credit card business , improve bank risk prevention capacity . (4 ) the overall mining data acquisition system debugging, analysis of the results of data mining , and Next .

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. The Application of Ant Colony Algorithm in Meteorological Satellite Cloud Pictures Segmentation,TP391.41
  6. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  7. Research on K-means Optimization Clustering Algorithm,TP311.13
  8. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  9. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  10. The Research on Routing Protocol of Agricultural Environmental Monitoring System Based on Wir Eless Sensor Networks,TN915.04
  11. Based on data mining research tax audit case selection,F812.42
  12. Community-oriented education, personalized learning system and its implementation,TP391.6
  13. Association rule mining based Intrusion Detection System Research and Implementation,TP393.08
  14. Data warehouse technology in the banking customer management systems research and implementation,TP315
  15. SAR interferometric method for optimal selection,P225.2
  16. Design to E-learning System in Senior Vocational School Base on Moodle,TP311.52
  17. Design and Development of Teaching Quality Assessment System Based on Data Mining,TP311.13
  18. The Empirical Research of Perceived Service Quality of China’s Credit Card,F832.2
  19. The Application of Association Rules Algorithm in Higher Vocational Colleges’ Endorsement of Impoverished Students,G717
  20. Based on Data Mining Technologies in Urban Water Supply Analysis and Decision,F299.24;F224
  21. Research on Application of Data Mining Technology in Degree of Satisfaction Analysis of Television Customers,TP311.13

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
© 2012 www.DissertationTopic.Net  Mobile