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» Outlier Detection for High Dimensional Data
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BMCBI
2005
148views more  BMCBI 2005»
14 years 9 months ago
Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
Background: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is ...
Xin Gao, Peter X. K. Song
ICDE
2010
IEEE
222views Database» more  ICDE 2010»
14 years 8 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 9 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
SIGMOD
2010
ACM
208views Database» more  SIGMOD 2010»
14 years 9 months ago
Hierarchically organized skew-tolerant histograms for geographic data objects
Histograms have been widely used for fast estimation of query result sizes in query optimization. In this paper, we propose a new histogram method, called the Skew-Tolerant Histog...
Yohan J. Roh, Jae Ho Kim, Yon Dohn Chung, Jin Hyun...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
15 years 9 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...