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121
Voted
SDM
2009
SIAM
16 years 21 days ago
2009
SIAM
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
127
Voted
ACMSE
2006
ACM
15 years 9 months ago
2006
ACM
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
116
Voted
VTS
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper presents a pseudo-functional BIST scheme that attempts to minimize the over-testing problem of logic BIST for delay and crosstalk-induced failures. The over-testing pro...
127
Voted
CSB
2003
IEEE
15 years 8 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
202
Voted
AIM
2011
14 years 7 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...