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» Time-Aware Web Users' Clustering
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KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 9 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
HT
2010
ACM
13 years 10 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
14 years 9 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
COMPUTER
2004
61views more  COMPUTER 2004»
13 years 8 months ago
Adaptive Neural Network Clustering of Web Users
Santosh K. Rangarajan, Vir V. Phoha, Kiran S. Bala...
WEBI
2005
Springer
14 years 2 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae