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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 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
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
15 years 8 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, ...
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 8 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
TKDE
2010
190views more  TKDE 2010»
15 years 5 months ago
Effectively Indexing the Uncertain Space
—With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulat...
Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang...
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
16 years 7 months ago
On compressing social networks
Motivated by structural properties of the Web graph that support efficient data structures for in memory adjacency queries, we study the extent to which a large network can be com...
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, ...