Web Clustering and Association Rule Discovery for Web Broadcast

Authors:
Shi Wang;Wen Gao;Jintao Li;Tiejun Huang;Hui Xie
Affiliations:
-;-;-;-;-
Venue:
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Year:
2000

Citing 4
Cited 0

Clustering algorithms

Information retrieval
Adaptive Web sites: automatically synthesizing Web pages

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Web Mining: Information and Pattern Discovery on the World Wide Web

ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

When we broadcast web pages package through broadband broadcast network, what we will broadcast and how we broadcast are two problems. First, we formalize these problems as a clustering problem. Second, we use the association rule to give a better result. In this paper we provide a new web mining method WebClustering to resolve these problems. This method combines the clustering idea and association rule discovery idea. The mining object is the web pages of Cache and Log in WWW Proxy server. By this method we can find a valuable Web broadcast set and create some index HTML pages to direct the users to navigate.