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» Performance data collection using a hybrid approach
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149
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ICPR
2006
IEEE
16 years 8 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
241
Voted
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 9 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
ACSAC
2006
IEEE
15 years 10 months ago
Data Sandboxing: A Technique for Enforcing Confidentiality Policies
When an application reads private / sensitive information and subsequently communicates on an output channel such as a public file or a network connection, how can we ensure that ...
Tejas Khatiwala, Raj Swaminathan, V. N. Venkatakri...
192
Voted
EOR
2002
165views more  EOR 2002»
15 years 6 months ago
Review of ranking methods in the data envelopment analysis context
Within data envelopment analysis (DEA) is a sub-group of papers in which many researchers have sought to improve the differential capabilities of DEA and to fully rank both effici...
Nicole Adler, Lea Friedman, Zilla Sinuany-Stern
SIMVIS
2004
15 years 8 months ago
Model-based Approach to Automatic 3D Seismic Horizon Correlation across Faults
Seismic data provide detailed information about subsurface structures. Reflection events visible in the seismic data are known as horizons, and indicate boundaries between differe...
Fitsum Admasu, Klaus D. Tönnies