Clustering Web Sessions by Sequence Alignment
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Knowledge discovery from users Web-page navigation
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
Trigger Based Security Alarming Scheme for Moving Objects on Road Networks
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Searching for similar trajectories in spatial networks
Journal of Systems and Software
On the topology of the dark web of terrorist groups
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Trajectory similarity of network constrained moving objects and applications to traffic security
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Searching for similar trajectories on road networks using spatio-temporal similarity
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
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Trajectory similarity of moving objects resembles path similarity of user click-streams in web usage mining. By analyzing the URL path of each user, we are able to determine paths that are very similar and therefore effective caching strategies can be applied. In recent years, World Wide Web has been increasingly used by terrorists to spread their ideologies and web mining techniques have been used in cyber crime and terrorism research. Analysis of space and time of click stream data to establish web session similarity from historical web access log of dark web will give insights into access pattern of terrorism sites. This paper deals with the variations in applying spatio-temporal similarity measure of moving objects proposed by the authors in PAISI 2010, to web user session trajectories treating spatial similarity as a combination of structural and sequence similarity of web pages. A similarity set formation tool is proposed for web user session trajectories which has applications in mining click stream data for security related matters in dark web environment. The validity of the findings is illustrated by experimental evaluation using a web access log publically available.