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Data perturbation for outlier detection ensembles
(Association for Computing Machinery - ACMAalborg UniversityAalborg, 2014-06)
Outlier detection and ensemble learning are well established research directions in data mining yet the application of ensemble techniques to outlier detection has been rarely studied. Building an ensemble requires learning ...
Intelligent Models To Identification And Treatment Of Outliers In Electrical Load Data
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2016)
The influence of outliers on metric studies of information: an analysis of univariate dataA influência de outliers nos estudos métricos da informação: uma análise de dados univariados
(Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS), 2018)
Effect of outliers on forecasting temporally aggregated flow variables
(Sociedad Estadistica Investigacion OperativaMadridEspanha, 2004)
On the internal evaluation of unsupervised outlier detection
(University of CaliforniaAssociation for Computing Machinery – ACMLa Jolla, 2015-06)
Although there is a large and growing literature that tackles the unsupervised outlier detection problem, the unsupervised evaluation of outlier detection results is still virtually untouched in the literature. The so-called ...
A Note about Detection of Additive Outliers with Fractional ErrorsUna Nota sobre la Detección de Observaciones Atípicas Aditivas con Errores Fraccionales
(Pontificia Universidad Católica del Perú. Departamento de EconomíaPE, 2015)
Um método de detecção de outliers para encontrar fraudes na cota para exercício da atividade parlamentarAn outlier detection method to search for fraud in the quota for parliamentary activity
(Universidade Federal do Rio Grande do NorteBrasilUFRNEstatística, 2020)
Hierarchical density estimates for data clustering, visualization, and outlier detection
(ACMNew York, 2015-07)
An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced in this article. The main module consists of an algorithm to compute hierarchical estimates of the level ...