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158
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HPCC
2005
Springer
16 years 5 days ago
2005
Springer
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
203
Voted
CSMR
2009
IEEE
15 years 11 months ago
2009
IEEE
There is an increasing interest in more accurate prediction of software maintainability in order to better manage and control software maintenance. Recently, TreeNet has been prop...
173
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SIGMOD
2010
ACM
15 years 11 months ago
2010
ACM
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...
176
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PAKDD
2004
ACM
16 years 15 hour ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
150
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KDD
2005
ACM
16 years 5 days ago
2005
ACM
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...