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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 7 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
148
Voted
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
15 years 5 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
VRML
2003
ACM
15 years 8 months ago
3D virtual clothing: from garment design to web3d visualization and simulation
One of the major challenges in Computer Graphics concerns the 3D representation and physically-based simulation of garments. In our research, we are working closely with the texti...
Luca Chittaro, Demis Corvaglia
134
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 10 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...