Sciweavers

Share
12 search results - page 1 / 3
» Significant Interval and Frequent Pattern Discovery in Web L...
Sort
View
CORR
2010
Springer
186views Education» more  CORR 2010»
9 years 10 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
AICCSA
2006
IEEE
218views Hardware» more  AICCSA 2006»
10 years 4 months ago
Performance Comparison of Pattern Discovery Methods on Web Log Data
One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery te...
Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
EUSFLAT
2009
220views Fuzzy Logic» more  EUSFLAT 2009»
9 years 8 months ago
Web Usage Mining: users' navigational patterns extraction from web logs using ant-based clustering method
Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs)...
Kobra Etminani, Mohammad R. Akbarzadeh-Totonchi, N...
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
10 years 10 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
AAAI
2007
10 years 21 days ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith
books