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» Approximate data mining in very large relational data
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CSE
2008
IEEE
15 years 5 months ago
A High-Throughput Multi-cluster NoC Architecture
During the last years a large number of research works has focused on problems related to multi-core processors. Due to the possibilities of many cores, the number of opportunitie...
Henrique C. Freitas, Philippe Olivier Alexandre Na...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
16 years 1 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 9 months ago
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
This paper introduces a new type of Self-Organizing Map (SOM) for Text Categorization and Semantic Browsing. We propose a “hyperbolic SOM” (HSOM) based on a regular tesselation...
Jörg Ontrup, Helge Ritter
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
15 years 5 months ago
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 4 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong