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» Finding Frequent Patterns in a Large Sparse Graph
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JITECH
2010
106views more  JITECH 2010»
14 years 8 months ago
Patterns and structures of intra-organizational learning networks within a knowledge-intensive organization
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
Miha Skerlavaj, Vlado Dimovski, Kevin C. Desouza
81
Voted
MEDIAFORENSICS
2010
14 years 11 months ago
Managing a large database of camera fingerprints
Sensor fingerprint is a unique noise-like pattern caused by slightly varying pixel dimensions and inhomogeneity of the silicon wafer from which the sensor is made. The fingerprint...
Miroslav Goljan, Jessica J. Fridrich, Tomás...
PVLDB
2008
116views more  PVLDB 2008»
14 years 9 months ago
Anonymizing bipartite graph data using safe groupings
Private data often comes in the form of associations between entities, such as customers and products bought from a pharmacy, which are naturally represented in the form of a larg...
Graham Cormode, Divesh Srivastava, Ting Yu, Qing Z...
ISPASS
2009
IEEE
15 years 4 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
69
Voted
PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
14 years 8 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...