Mining Web Transaction Patterns in an Electronic Commerce Environment

  • Authors:
  • Ching-Huang Yun;Ming-Syan Chen

  • Affiliations:
  • -;-

  • Venue:
  • PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we explore a new data mining capability which involves mining Web transaction patterns for an electronic commerce (EC) environment. We propose an innovative mining model that takes both the traveling patterns and purchasing patterns of customers into consideration. First, we develop algorithm WR to extract meaningful Web transaction records from Web transactions so as to filter out the effect of irrelevant traversal sequences. Second, we devise algorithm WTM for determining the large transaction patterns from the Web transaction records obtained.