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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 7 months ago
Outlier detection by sampling with accuracy guarantees
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
Mingxi Wu, Chris Jermaine
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
14 years 4 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
DAGSTUHL
2007
13 years 9 months ago
Subspace outlier mining in large multimedia databases
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
Ira Assent, Ralph Krieger, Emmanuel Müller, T...
PVLDB
2010
117views more  PVLDB 2010»
13 years 5 months ago
Distance-Based Outlier Detection: Consolidation and Renewed Bearing
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
DSN
2000
IEEE
13 years 12 months ago
Software-Implemented Fault Detection for High-Performance Space Applications
We describe and test a software approach to overcoming radiation-induced errors in spaceborne applications running on commercial off-the-shelf components. The approach uses checks...
Michael J. Turmon, Robert Granat, Daniel S. Katz