Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2002, Vol. 25 ›› Issue (4): 56-60.

Previous Articles     Next Articles

The Association Rule Mining Based on Item Numbers

DUAN Yun-feng1, SONG Jun-de1, LI Jian-wei2, SHU Hua-ying2   

  1. 1.Electronic Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2.Economic Management School, Beijing University of Posts and Telecommunications, Beijing 100876, China)
  • Received:2001-07-10 Online:2002-11-10
  • Supported by:
     

Abstract: With an analysis of the problems in association rulemining, a new concept with number of items is proposed. Based on the number-support, the Apriori algorithm is improved, and the result is compared with the newalgorithm.

Key words: data mining, association rule mining, support, confidence

CLC Number: