Utilizing hyperlink transitivity to improve web page clustering
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Mining Frequent Labeled and Partially Labeled Graph Patterns
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Discovering Frequent Graph Patterns Using Disjoint Paths
IEEE Transactions on Knowledge and Data Engineering
Mining frequent tree-like patterns in large datasets
Data & Knowledge Engineering
Mining graphs with constraints on symmetry and diameter
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
Traversal pattern mining in web environment
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Mining frequent tree-like patterns in large datasets
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
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Data mining recently emerges from a number of real-life applications, such as banking, supermarketing, and interneting. In this paper, we investigate a novel data mining problem derived from the applications of WWW. We will present an efficient algorithm for solving the problem. Our initial implementation suggests that the algorithm is very efficient and scalable in practice.