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» Graph Mining based on a Data Partitioning Approach
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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 7 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
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 5 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
96
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ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
15 years 6 months ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 5 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
VL
1993
IEEE
159views Visual Languages» more  VL 1993»
15 years 4 months ago
A Visual Logic Programming Language Based on Sets and Partitioning Constraints
This paper presents a new programming language named SPARCL that has four major elements: it is a visual language, it is a logic programming language, it relies on sets to organiz...
Lindsey L. Spratt, Allen L. Ambler