Dissertation > Excellent graduate degree dissertation topics show

Web Usage Mining and the Research of Personalized Recommendation

Author: WangYong
Tutor: LiuJianPing
School: Zhejiang University of Technology
Course: Applied Computer Technology
Keywords: Data Mining Web usage mining Personalized recommendation Apriori algorithm K-means algorithm
CLC: TP311.13
Type: Master's thesis
Year: 2011
Downloads: 64
Quote: 1
Read: Download Dissertation

Abstract


Data mining is computer science, artificial intelligence and database research direction is an important issue , it is from a large , incomplete , noisy , fuzzy , the practical application of random data , extracting implicit in them , people not known in advance , but is potentially useful information and knowledge. Web pages contain complex , unstructured , dynamic data, how vast amounts of information on the Web to analyze , for the user's needs, providing personalized recommendation service and is today an important data mining application . This paper summarizes the results of previous studies based on Web usage mining carried out for the research, the main contents are summarized as follows : ( a ) on the basic theoretical knowledge of data mining and classification for the overall study , a detailed analysis of the data source for Web usage mining , the basic process of data preprocessing . ( 2 ) on the association rules related theories in detail, analyzing the classical Apriori algorithm performance, it has been improved. Candidate sets generated in the natural connection before first conduct a pruning process, reducing the number of participating itemsets connections , thus reducing the size of candidate itemsets generated , reducing the number of loop iterations and run time , while the connection determining step to reduce excess judgment times. ( 3 ) a detailed description of the K-means clustering algorithm is the basic idea and process , analyze its strengths and weaknesses , we propose a modified K-means algorithm, that MFA algorithm . For K-means clustering algorithm, the center determined after each adjustment new cluster center requires a lot of distance calculations , proposed a change in the use of cluster centers information to determine the center of the new cluster approach , through centralization selected from the dynamic cluster candidate set filtering method reduces the computational complexity. ( 4 ) on the campus Web site log data analysis and processing , the use of improved mining algorithms for data mining , find the user's access patterns , and finally the use of mining results , to the site to add personalized recommendation feature , the initiative may be of interest for users recommend their information .

Related Dissertations

  1. Research and Implementation of Mining Implicit User Interest,TP311.13
  2. A Study on Healthcare Product Marketing Based on Data Mining Technology,F426.72
  3. Gao Zhong-ying academic thought and experience and use of Bufei Decoction treatment of common diseases of the respiratory system drug law,R249.2
  4. Bing- thick academic thought and clinical experience and empirical studies apply to turtle soups treatment of chronic kidney disease,R249.2
  5. Research and Improvement on K-Means Clustering Algorithm,TP311.13
  6. The Design and Implementation of Bicluster Data Analyzing Software,TP311.52
  7. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  8. Research on K-means Optimization Clustering Algorithm,TP311.13
  9. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  10. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  11. Design to E-learning System in Senior Vocational School Base on Moodle,TP311.52
  12. Design and Development of Teaching Quality Assessment System Based on Data Mining,TP311.13
  13. The Application of Association Rules Algorithm in Higher Vocational Colleges’ Endorsement of Impoverished Students,G717
  14. Based on Data Mining Technologies in Urban Water Supply Analysis and Decision,F299.24;F224
  15. Research on Application of Data Mining Technology in Degree of Satisfaction Analysis of Television Customers,TP311.13
  16. Data Mining of Application in the School Management and Training Students,TP311.13
  17. Research on Employment Monitoring System of University Graduate,G647.38
  18. Design and Implementation for Decision Support System of Drug Administration Based on Data Warehouse,TP311.13
  19. Structural Browsing Technology Based on Association Rules and It’s Application,TP391.41
  20. MADM method in personalized recommendation for user preferences,G353.1
  21. A Research on the Credit Card Client Activating and Response Extent Based on Data Mining,F832.2

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