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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 1 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 1 months ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
16 years 22 days ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...
KDD
1997
ACM
213views Data Mining» more  KDD 1997»
15 years 11 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic