본문 바로가기

쓰기

 
저자 Si-Hun Lee, Jee-Hyong Lee, Keon Myung Lee, and Hee Yong Youn 
논문지 International Conference on Computational Science and Its Applications (ICCSA 2005) 
Vol. 3483 
No.  
pp. 1149-1158 
게재일 2005-05-09 

Web usage mining is a research field for searching potentially useful and valuable information from web log file. Web log file is a simple list of pages that users refer. Therefore, it is not easy to analyze user’s current interest field from web log file. This paper presents web usage mining method for finding users’ current interest based on Fuzzy category. We consider not only how many times a user visits pages but also when he visits. We describe a user’s current interest with a fuzzy interest degree to categories. Based on fuzzy categories and fuzzy interest degrees, we also propose a method for understanding web users. For this, we define the category vector space. We also present experiment results which shows how our method helps to understand web users.

    2013

    2012

      Fuzzy Category and Fuzzy Interest for Web User Understanding
      2012.03.19
      저자: Si-Hun Lee, Jee-Hyong Lee, Keon Myung Lee, and Hee Yong Youn     논문지: International Conference on Computational Science and Its Applications (ICCSA 2005)     Vol.: 3483     pp.: 1149-1158     게재일: 2005-05-09    
      Mixed Control Actions for Uustable Linear Systems
      2012.03.19
      저자: Kwan-Ho You, Jiecai Luo, and Jee-Hyong Lee     논문지: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences     Vol.: 86     No.: 9     pp.: 2317-2324     게재일: 2003-09-01    
      A Fuzzy Ranking Method for Fuzzy Numbers
      2013.06.10
      저자: Jee-Hyong Lee, Kwan-Ho YOU     논문지: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer     Vol.: E86-A     No.: 10     pp.: 2650-2658     게재일: 2003-01-01