A hierarchical clustering algorithm for categorical sequence data
Information Processing Letters
Indirect assessment of web navigation success
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Predicting outcomes of web navigation
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Incremental click-stream tree model: Learning from new users for web page prediction
Distributed and Parallel Databases
Analyzing user's behavior on a video database
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Implicit measures of lostness and success in web navigation
Interacting with Computers
Validation and interpretation of Web users' sessions clusters
Information Processing and Management: an International Journal
Seeking activity: on the trail of users in open and community source frameworks
Proceedings of the 35th annual ACM SIGUCCS fall conference
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Insights and surprises from usage patterns: some benefits of data mining in academic online systems
Proceedings of the 36th annual ACM SIGUCCS fall conference: moving mountains, blazing trails
COWES: Web user clustering based on evolutionary web sessions
Data & Knowledge Engineering
Towards a graph-based user profile modeling for a session-based personalized search
Knowledge and Information Systems
The sustainability of corporate wikis: A time-series analysis of activity patterns
ACM Transactions on Management Information Systems (TMIS)
Spatio-temporal similarity of web user session trajectories and applications in dark web research
PAISI'11 Proceedings of the 6th Pacific Asia conference on Intelligence and security informatics
COWES: clustering web users based on historical web sessions
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Clustering web sessions by levels of page similarity
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A distance-based algorithm for clustering database user sessions
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Finding and analyzing database user sessions
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Mining significant usage patterns from clickstream data
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Fuzzy clustering of human activity patterns
Fuzzy Sets and Systems
Data Mining User Activity in Free and Open Source Software FOSS/ Open Learning Management Systems
International Journal of Open Source Software and Processes
You are how you click: clickstream analysis for Sybil detection
SEC'13 Proceedings of the 22nd USENIX conference on Security
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In the context of web mining, clustering could be used to cluster similar click-streams to determine learning behaviours in the case of e-learning, or general site access behaviours in e-commerce. Most of the algorithms presented in the literature to deal with clustering web sessions treat sessions as sets of visited pages within a time period and don't consider the sequence of the click-stream visitation. This has a significant consequence when comparingsimilarities between web sessions. We propose in this paper a new algorithm based on sequence alignment to measure similarities between web sessions where sessions arechronologically ordered sequences of page accesses.