Title page for etd-0718100-133038


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URN etd-0718100-133038
Author Shih-Ta Chang
Author's Email Address roman@mis.nsysu.edu.tw
Statistics This thesis had been viewed 5333 times. Download 2480 times.
Department Information Management
Year 1999
Semester 2
Degree Master
Type of Document
Language English
Title MINING USER ACCESS PATTERNSFROM NETWORK FLOW ON THE INTERNET
Date of Defense 2000-07-07
Page Count 58
Keyword
  • generalization
  • access patterns
  • large graph
  • graph similarity and distance
  • error-correcting graph matching
  • deviation detection
  • data mining
  • attributed releated graph
  • Abstract This thesis focuses on mining user access patterns from netflow database collected from the core router of a regional network center. We use the attributed relational graph representation to formulate user access patterns on the Internet, and then propose a procedure to generalize common connection patterns and detect deviation patterns with such methods as large graph generalization, error correcting graph matching, frontier identification and pattern base recognition. The major contributions of this thesis are on represeting the network connection with attributed relational graph and developing data mining tehcniques for identifying access paterns and detecting deviation. The results can be used for better managing regional network in order to improve user satification in using regional netwrok netwrok services.
    Advisory Committee
  • Nian-Shing Chen - chair
  • Chin-Ping Wei - co-chair
  • Fu-Ren Lin - advisor
  • Files
  • Thesis.pdf
  • indicate access worldwide
    Date of Submission 2000-07-18

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