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» Graph Mining using Graph Pattern Profiles
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93
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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 8 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck
VLDB
2004
ACM
143views Database» more  VLDB 2004»
15 years 7 months ago
GPX: Interactive Mining of Gene Expression Data
Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
Daxin Jiang, Jian Pei, Aidong Zhang
JCP
2008
171views more  JCP 2008»
15 years 2 months ago
Mining Frequent Subgraph by Incidence Matrix Normalization
Existing frequent subgraph mining algorithms can operate efficiently on graphs that are sparse, have vertices with low and bounded degrees, and contain welllabeled vertices and edg...
Jia Wu, Ling Chen
100
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CAIP
2009
Springer
155views Image Analysis» more  CAIP 2009»
15 years 8 months ago
Algorithms for the Sample Mean of Graphs
Measures of central tendency for graphs are important for protoype construction, frequent substructure mining, and multiple alignment of protein structures. This contribution propo...
Brijnesh J. Jain, Klaus Obermayer
CIARP
2008
Springer
15 years 3 months ago
Video Object Segmentation Using Graphs
Salvador B. López Mármol, Nicole M. ...