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Comparison of Different Calculations of the Density-Based Local Outlier Factor

Main topics of the document: local outlier factor; density based-algorithm; outlier detection...

BB - Aplikovaná statistika, operační výzkum

  • 2012
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Result

Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection?

This paper addresses the task of finding outliers within each class in the context of supervised classification problems. Class-based outliers are cases method for outlier detection in labelled data based on Random Forests ...

IN - Informatika

  • 2015
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Result

Comparison of selected algorithms for computing the local outlier score in multidimensional data

Basic themes of document: local outlier factor; density-based outlier detection; LOF algorithm; LOF' algorithm; LOF" algorithm; multivariate data......

BB - Aplikovaná statistika, operační výzkum

  • 2014
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  • Jx
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Result

Modelling of Outliers in the Local 2D Network

Modelling of Outliers in the Local 2D Network...

DE - Zemský magnetismus, geodesie, geografie

  • 2001
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Result

Comparison of diffrent algorithms for identification of outliers

Comparison of diffrent algorithms for identification of outliers with the application to envronmental data...

KA - Vojenství

  • 2016
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  • O
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Result

European countries analysis using robust regression methods

Basic themes of document: robust regression; outliers; leverage points; identification of outliers; model selection criteria...

BB - Aplikovaná statistika, operační výzkum

  • 2009
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  • Jx
Result

Outliers and the Ostensibly Heavy Tails

The aim of the paper is to show that the presence of one possible type of outliers is not connected to that of heavy tails of the distribution. In contrary, typical situation for outliers appearance is the case of compactly supporte...

Statistics and probability

  • 2019
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  • Jimp
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Result

Functional outlier detection and taxonomy by sequential transformations

, which can be classified as either magnitude or shape outliers based on their way of deviating from the bulk of data. Identifying magnitude outliers is relatively easy, while detecting shape outliers is much more challengi...

Statistics and probability

  • 2020
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  • Jimp
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Result

OUTLIER DETECTION TECHNIQUES IN MULTIDIMENSIONAL DATASETS

Outliers can significantly impact data summarization results and data analysis across all types of data analysis. Identifying outliers in multidimensional data is, therefore, one of the key approaches in data preprocessing. across a...

Statistics and probability

  • 2020
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Result

Outliers in Multivariate Data Sets

Outliers in Multivariate Data Sets...

CB - Analytická chemie, separace

  • 2002
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