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» COWES: Clustering Web Users Based on Historical Web Sessions
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DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
13 years 8 months ago
COWES: Clustering Web Users Based on Historical Web Sessions
Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots of web user sessions. They do no...
Ling Chen 0002, Sourav S. Bhowmick, Jinyan Li
DMKD
2000
ACM
165views Data Mining» more  DMKD 2000»
13 years 9 months ago
On Mining Web Access Logs
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Anupam Joshi, Raghu Krishnapuram
ISMIS
2005
Springer
13 years 10 months ago
Model-Based Cluster Analysis for Web Users Sessions
One of the main issues inWeb usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users’sessions and di...
George Pallis, Lefteris Angelis, Athena Vakali
KES
2004
Springer
13 years 10 months ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko
ADC
2005
Springer
183views Database» more  ADC 2005»
13 years 10 months ago
Discovering User Access Pattern Based on Probabilistic Latent Factor Model
There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not ...
Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang ...