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» Graph Mining based on a Data Partitioning Approach
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130
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ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 6 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
158
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CIKM
2005
Springer
15 years 2 months ago
Fast on-line index construction by geometric partitioning
Inverted index structures are the mainstay of modern text retrieval systems. They can be constructed quickly using off-line mergebased methods, and provide efficient support for ...
Nicholas Lester, Alistair Moffat, Justin Zobel
98
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ISMIS
2009
Springer
15 years 7 months ago
Discovering Relevant Cross-Graph Cliques in Dynamic Networks
Abstract. Several algorithms, namely CubeMiner, Trias, and DataPeeler, have been recently proposed to mine closed patterns in ternary relations. We consider here the specific cont...
Loïc Cerf, Tran Bao Nhan Nguyen, Jean-Fran&cc...
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 2 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
172
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JPDC
2007
138views more  JPDC 2007»
15 years 20 days ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki