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» Graph Mining based on a Data Partitioning Approach
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136
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CORR
2011
Springer
208views Education» more  CORR 2011»
14 years 7 months ago
GRASP and path-relinking for Coalition Structure Generation
In Artificial Intelligence with Coalition Structure Generation (CSG) one refers to those cooperative complex problems that require to find an optimal partition, maximising a soci...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
74
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EUROPAR
2001
Springer
15 years 5 months ago
Data-Parallel Compiler Support for Multipartitioning
Multipartitioning is a skewed-cyclic block distribution that yields better parallel efficiency and scalability for line-sweep computations than traditional block partitionings. Th...
Daniel G. Chavarría-Miranda, John M. Mellor...
WISE
2009
Springer
15 years 10 months ago
Clustering of Social Tagging System Users: A Topic and Time Based Approach
Abstract. Under Social Tagging Systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Mining tag information r...
Vassiliki A. Koutsonikola, Athena Vakali, Eirini G...
CIKM
2006
Springer
15 years 4 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
118
Voted
IPPS
2009
IEEE
15 years 7 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader