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» Clustering Improves the Exploration of Graph Mining Results
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KDD
2003
ACM
152views Data Mining» more  KDD 2003»
14 years 5 months ago
Interactive exploration of coherent patterns in time-series gene expression data
Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...
Daxin Jiang, Jian Pei, Aidong Zhang
ICPR
2008
IEEE
13 years 11 months ago
A new clustering approach based on graph partitioning for navigation patterns mining
We present a study of the web based user navigation patterns mining and propose a novel approach for clustering of user navigation patterns. The approach is based on the graph par...
Mehrdad Jalali, Norwati Mustapha, Ali Mamat, Nasir...
ERCIMDL
2009
Springer
109views Education» more  ERCIMDL 2009»
13 years 11 months ago
Exploratory Web Searching with Dynamic Taxonomies and Results Clustering
Abstract. This paper proposes exploiting both explicit and mined metadata for enriching Web searching with exploration services. On-line results clustering is useful for providing ...
Panagiotis Papadakos, Stella Kopidaki, Nikos Armen...
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
13 years 11 months ago
Clustering with Multiple Graphs
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 6 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter