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CIB
2002
100views more  CIB 2002»
14 years 11 months ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang
DAWAK
2005
Springer
15 years 5 months ago
Optimizing a Sequence of Frequent Pattern Queries
Discovery of frequent patterns is a very important data mining problem with numerous applications. Frequent pattern mining is often regarded as advanced querying where a user speci...
Mikolaj Morzy, Marek Wojciechowski, Maciej Zakrzew...
CORR
2010
Springer
186views Education» more  CORR 2010»
14 years 12 months ago
Significant Interval and Frequent Pattern Discovery in Web Log Data
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
Kanak Saxena, Rahul Shukla
CHI
2010
ACM
15 years 6 months ago
A study of tabbed browsing among mozilla firefox users
We present a study which investigated how and why users of Mozilla Firefox use multiple tabs and windows during web browsing. The detailed web browsing usage of 21 participants wa...
Patrick Dubroy, Ravin Balakrishnan
DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
15 years 3 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