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» Graph Mining based on a Data Partitioning Approach
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104
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DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 6 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang
100
Voted
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 26 days ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
119
Voted
IV
2009
IEEE
128views Visualization» more  IV 2009»
15 years 7 months ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber
IDA
2007
Springer
15 years 12 days ago
Inference of node replacement graph grammars
Graph grammars combine the relational aspect of graphs with the iterative and recursive aspects of string grammars, and thus represent an important next step in our ability to dis...
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
ESWA
2007
176views more  ESWA 2007»
15 years 12 days ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang