Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Web Site Optimization Using Page Popularity
IEEE Internet Computing
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Information Sciences: an International Journal
Hi-index | 0.00 |
Data mining technology makes it possible to discover knowledge from daily operational data. As we know, web log contains a lot of information about web users' behavior on the website, for example, web users' access path. Information discovered from those data will be very useful to website design and promotion. In this paper, we propose an analysis model by using multidimensional association rules to extract useful information from web users' access path. Example shows that association analysis can help us to find very valuable knowledge such as the relationship between user access time and web pages, and that knowledge will help website to improve users' satisfaction and make website promotion decision.