Title page for etd-0802100-164858


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URN etd-0802100-164858
Author Chang Kuang-Yi
Author's Email Address master01@ms9.hinet.net
Statistics This thesis had been viewed 5335 times. Download 3010 times.
Department Information Management
Year 1999
Semester 2
Degree Master
Type of Document
Language English
Title Facilitating On-line Automated Bargaining Using Data Mining Technology -- A Solution from Time Series Analysis
Date of Defense 2000-07-27
Page Count 76
Keyword
  • time series
  • agent
  • bargaining
  • data mining
  • e-commerce
  • Abstract Bargaining is a frequent activity in the shopping process, and it becomes a trend in electronic trading. In order to facilitate the on-line automatic bargaining activity, we develop three algorithms on the multi-agent system in this thesis. The first algorithm is the pattern generalization algorithm used for generalizing common patterns from transaction records. The second one is the pattern matching algorithm used on-line for identifying possible bargaining patterns from the pattern bases. To deal with the situation that there is no matched pattern, we design the dynamic price issuing algorithm using the utility theory to determine the seller’s price and the timing a deal should be closed. We conducted a series of field experiments to evaluate the proposed algorithms on different seller’s risk perspectives and compared the performance with conventional bargaining methods. The results show that the proposed methods obtain encouraging performance. The major contribution of this research is the initiation efforts on developing data mining algorithms for facilitating the price bargaining process for e-commerce.
    Advisory Committee
  • Ting-Pang Liang - chair
  • Chih-Ping Wei - co-chair
  • Fu-Ren Lin - advisor
  • Files
  • ThesisVer1.pdf
  • indicate access worldwide
    Date of Submission 2000-08-02

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