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» Clustering Improves the Exploration of Graph Mining Results
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AI
2009
Springer
14 years 12 days ago
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Abstract. Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS ha...
Hassan Khosravi, Recep Colak
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 3 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
WAIM
2007
Springer
13 years 12 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 7 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
ICTAI
2006
IEEE
13 years 11 months ago
Preserving Patterns in Bipartite Graph Partitioning
This paper describes a new bipartite formulation for word-document co-clustering such that hyperclique patterns, strongly affiliated documents in this case, are guaranteed not to ...
Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung,...