Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Natural communities in large linked networks
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
EqRank: a self-consistent equivalence relation on graph vertexes
ACM SIGKDD Explorations Newsletter
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster-based concept invention for statistical relational learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic Model Estimation for Collaborative Filtering Based on Items Attributes
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Trend detection through temporal link analysis
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
SimFusion: measuring similarity using unified relationship matrix
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using position, fonts and cited references to retrieve scientific documents
Journal of Information Science
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Scalable community discovery on textual data with relations
Proceedings of the 17th ACM conference on Information and knowledge management
Finding cohesive clusters for analyzing knowledge communities
Knowledge and Information Systems
Analysis of Components for Generalization using Multidimensional Scaling
Fundamenta Informaticae
Conference Mining via Generalized Topic Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
P-Rank: a comprehensive structural similarity measure over information networks
Proceedings of the 18th ACM conference on Information and knowledge management
Learning author-topic models from text corpora
ACM Transactions on Information Systems (TOIS)
Analyzing knowledge communities using foreground and background clusters
ACM Transactions on Knowledge Discovery from Data (TKDD)
Temporal expert finding through generalized time topic modeling
Knowledge-Based Systems
Research interests: their dynamics, structures and applications in unifying search and reasoning
Journal of Intelligent Information Systems
A similarity reinforcement algorithm for heterogeneous web pages
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
A similarity-aware multiagent-based web content management scheme
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Group topic modeling for academic knowledge discovery
Applied Intelligence
Analysis of Components for Generalization using Multidimensional Scaling
Fundamenta Informaticae
E-rank: A Structural-Based Similarity Measure in Social Networks
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Understanding evolution of research themes: a probabilistic generative model for citations
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it exploits the underlying regularity often found in hyper-linked document databases. Because of this scalability, we can use our method to study the temporal trends of individual clusters in a statistically meaningful manner. As an example of our approach, we give a summary of the temporal trends found in a scientific literature database with thousands of documents.