From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Predicting users' requests on the WWW
UM '99 Proceedings of the seventh international conference on User modeling
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Visualizing the crowds at a web site
CHI '99 Extended Abstracts on Human Factors in Computing Systems
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Conceptual Clustering of Heterogeneous GeneExpression Sequences
Artificial Intelligence Review
Mining biologically active patterns in metabolic pathways using microarray expression profiles
ACM SIGKDD Explorations Newsletter
A generative probabilistic approach to visualizing sets of symbolic sequences
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Temporal Cluster Migration Matrices for Web Usage Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Knowledge and Data Engineering
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences—Informatics and Computer Science: An International Journal
A study of the effects of bias in criterion functions for temporal data clustering
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Modeling student online learning using clustering
Proceedings of the 44th annual Southeast regional conference
Validation and interpretation of Web users' sessions clusters
Information Processing and Management: an International Journal
Weighted order-dependent clustering and visualization of web navigation patterns
Decision Support Systems
Clustering techniques utilized in web usage mining
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Integrating recommendation models for improved web page prediction accuracy
ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74
A Consensus Recommender for Web Users
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
The SKM Algorithm: A K-Means Algorithm for Clustering Sequential Data
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Visualization of multi-algorithm clustering for better economic decisions - The case of car pricing
Decision Support Systems
Quicklink selection for navigational query results
Proceedings of the 18th international conference on World wide web
Combination of Web page recommender systems
Expert Systems with Applications: An International Journal
Temporal analysis of clusters of supermarket customers: conventional versus interval set approach
Information Sciences: an International Journal
Scalable model-based cluster analysis using clustering features
Pattern Recognition
Data mining for web personalization
The adaptive web
A characterization of online browsing behavior
Proceedings of the 19th international conference on World wide web
Merging algorithm to reduce dimensionality in application to web-mining
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Approaching process mining with sequence clustering: experiments and findings
BPM'07 Proceedings of the 5th international conference on Business process management
An integrated model for next page access prediction
International Journal of Knowledge and Web Intelligence
Designing heterogeneous embedded network-on-chip platforms with users in mind
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A study on the user navigation path of a web-based intervention program -- aftertheinjury.org
Proceedings of the 1st ACM International Health Informatics Symposium
Process discovery in event logs: An application in the telecom industry
Applied Soft Computing
Intentions and attention in exploratory health search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Visualizing transactional data with multiple clusterings for knowledge discovery
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
DAWN – a system for context-based link recommendation in web navigation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Context-based navigational support in hypermedia
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Universal clustering with family of power loss functions in probabilistic space
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Monitoring the quality of meta-data in web portals using statistics, visualization and data mining
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Universal clustering with regularization in probabilistic space
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Model-Based cluster analysis for web users sessions
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Research on path clustering based on the access interest of users
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
An overview of web data clustering practices
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
UP-DRES: user profiling for a dynamic REcommendation system
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
From devices to people: attribution of search activity in multi-user settings
Proceedings of the 23rd international conference on World wide web
Information Systems and e-Business Management
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We present a new methodology for exploring and analyzing navigation patterns on a web site. The patterns that can be analyzed consist of sequences of URL categories traversed by users. In our approach, we first partition site users into clusters such that users with similar navigation paths through the site are placed into the same cluster. Then, for each cluster, we display these paths for users within that cluster. The clustering approach we employ is model-based (as opposed to distance-based) and partitions users according to the order in which they request web pages. In particular, we cluster users by learning a mixture of first-order Markov models using the Expectation-Maximization algorithm. The runtime of our algorithm scales linearly with the number of clusters and with the size of the data; and our implementation easily handles hundreds of thousands of user sessions in memory. In the paper, we describe the details of our method and a visualization tool based on it called WebCANVAS. We illustrate the use of our approach on user-traffic data from msnbc.com.