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ICDM
2009
IEEE
163views Data Mining» more  ICDM 2009»
14 years 4 months ago
Kernel Conditional Quantile Estimation via Reduction Revisited
Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
14 years 3 months ago
A New Approach for Reactive Web Usage Data Processing
— Web usage mining exploits data mining techniques to discover valuable information from navigation behavior of World Wide Web (WWW) users. The required information is captured b...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 10 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
VISUALIZATION
1997
IEEE
14 years 1 months ago
Multiresolution tetrahedral framework for visualizing regular volume data
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
Yong Zhou, Baoquan Chen, Arie E. Kaufman
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee