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» A Partition-Based Approach to Graph Mining
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AAAI
2008
13 years 10 months ago
Clustering on Complex Graphs
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tian...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 6 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 9 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CIDM
2009
IEEE
14 years 12 days ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
IJBIDM
2008
114views more  IJBIDM 2008»
13 years 8 months ago
Traffic mining in a road-network: How does the traffic flow?
: The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we und...
Irene Ntoutsi, Nikos Mitsou, Gerasimos Marketos