Title page for etd-0802100-144455


[Back to Results | New Search]

URN etd-0802100-144455
Author Kun-Hsien Chen
Author's Email Address m8742622@student.nsysu.edu.tw
Statistics This thesis had been viewed 5332 times. Download 10595 times.
Department Information Management
Year 1999
Semester 2
Degree Master
Type of Document
Language English
Title Using Fuzzy Rule Induction for Mining Classification Knowledge
Date of Defense 2000-07-28
Page Count 70
Keyword
  • Classification Knowledge
  • Data Mining
  • Fuzzy Rule Induction
  • Knowledge Discovery
  • Abstract With the computerization of businesses, more and more data are generated and stored in databases for many business applications. Finding interesting patterns among those data may lead to useful knowledge that provides competitive advantage in business. Knowledge discovery in database has thus become an important issue to help business acquire knowledge that assists managerial and operational work. Among many types of knowledge, classification knowledge is widely used. Most classification rules learned by induction algorithms are in the crisp form. Fuzzy linguistic representation of rules, however, is much closer to the way human reasons. The objective of this research is to propose a method to mine classification knowledge from the database with fuzzy descriptions. The procedure contains five steps, starting from data preparation to rule pruning. A rule induction algorithm, RITIO, is employed to generate the classification rules. Fuzzy inference mechanism that includes fuzzy matching and output reasoning is specified to yield the output class. An experiment is conducted using several databases to show advantages of this work. The proposed method is justified with good system performance. It can be easily implemented in various business applications on classification tasks.
    Advisory Committee
  • Fu-Ren Lin - chair
  • Fen-Hui Lin - co-chair
  • Te-Min Chang - advisor
  • Files
  • zack.pdf
  • indicate access worldwide
    Date of Submission 2000-08-02

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys