Dissertation > Excellent graduate degree dissertation topics show

Study and Application of Data Mining Technology on Life Insurance Business

Author: YangHua
Tutor: WangChangShan；XueShiMin
School: Xi'an University of Electronic Science and Technology
Course: Computer technology
Keywords: Data Mining Clustering Association rules Clementine
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 237
Quote: 2
Read: Download Dissertation

Abstract


According to technical data mining business data within the field of statistical analysis in recent years , a new type of knowledge discovery technology . Papers based life insurance company 's data business research background, research and discussion on the implementation of the data mining process in a data -intensive insurance business . Papers based on data mining technology, features and development status , functions and tasks of data mining technology at this stage in the practical application . SPSS Clementine data mining software as a platform for common data mining algorithms and tools were introduced and compared using clustering modeling analysis to obtain the characteristics of the customers in the insurance business , and insurance policy sales associate rules of mining . The papers in accordance with the CRISP-DM data mining process model , integrated business system in a random sample of customer data mining research . Algorithm in the practical application of the strengths and weaknesses of comparative analysis of the K-means, TwoStep and Kohonen clustering algorithm, Apriori, GRI and Carma association rules mining , mining access to valuable data on the operation and development of business systems results , provide effective information support for the company 's marketing management and decision-making .

Related Dissertations

  1. Research and Implementation of Mining Implicit User Interest,TP311.13
  2. Establishment and Update of Similar Users’ Cluster in Personalized Information Retrieval,TP391.3
  3. Research on Removal Algorithm of Shadows in Image Segmentation,TP391.41
  4. The Research of the Text Extraction Method Based on Spectral Cut,TP391.41
  5. A Study on Healthcare Product Marketing Based on Data Mining Technology,F426.72
  6. Gao Zhong-ying academic thought and experience and use of Bufei Decoction treatment of common diseases of the respiratory system drug law,R249.2
  7. Bing- thick academic thought and clinical experience and empirical studies apply to turtle soups treatment of chronic kidney disease,R249.2
  8. Research and Improvement on K-Means Clustering Algorithm,TP311.13
  9. Research on Peer-to-Peer Traffic Identification Algorithm Based on Cluster Analysis,TP393.02
  10. Research of Scheduling Algorithm Based on Hybrid Adaptive Genetic Algorithm in Computing Grid,TP393.09
  11. Evaluation of Photosynthetic Efficiancy of Seedlings of the Hybrid Progenies （F1） in Peach,S662.1
  12. The Load Research and Comprehensive Evaluation on the Agricultural Non-Point Source Pollution in Nantong,X592
  13. The Design and Implementation of Bicluster Data Analyzing Software,TP311.52
  14. BF-FCM Clustering Algorithm and Its Application in the Image Segmentation,TP391.41
  15. The Application of Ant Colony Algorithm in Meteorological Satellite Cloud Pictures Segmentation,TP391.41
  16. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  17. Research on K-means Optimization Clustering Algorithm,TP311.13
  18. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  19. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  20. Study on Photosynthetic Characteristics of Peach Based on Heterosis of Assimilation Capacity,S662.1
  21. The Research on Routing Protocol of Agricultural Environmental Monitoring System Based on Wir Eless Sensor Networks,TN915.04

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