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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 9 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
14 years 2 months ago
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tre...
Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Y...
BMCBI
2005
134views more  BMCBI 2005»
13 years 9 months ago
Windows .NET Network Distributed Basic Local Alignment Search Toolkit (W.ND-BLAST)
Background: BLAST is one of the most common and useful tools for Genetic Research. This paper describes a software application we have termed Windows .NET Distributed Basic Local ...
Scot E. Dowd, Joaquin Zaragoza, Javier R. Rodrigue...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 4 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja
SDM
2008
SIAM
134views Data Mining» more  SDM 2008»
13 years 10 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...