Results 11 to 20 of about 180,123 (260)
Subgroup and outlier detection analysis [PDF]
BMC Bioinformatics, 2013 Background High-dimensional biological data presents the opportunity to discover novel forms of biological heterogeneity, such as overexpression or suppression of expression of a particular gene in a subset of a cohort. This novel biological heterogeneity appears in the data as outliers or distinct subgroups.
Gang Wu 0016 +5 more
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The efficiency of different outlier detection approaches in geodetic networks: case study for Pobednik statue [PDF]
Geodetski Vestnik, 2018 In the paper the efficacy of two different approaches for outlier detection in geodetic networks is analysed on a test example of a control network for geodetic monitoring of the Pobednik statue in the Kalemegdan Fortress in Belgrade by applying the mean
Mehmed Batilović +5 more
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Frontiers in Genetics, 2020 Domestication to captive rearing conditions, along with targeted selective breeding have genetic consequences that vary from those in wild environments.
Maria G. Nayfa +10 more
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Detection of outliers in processing of small size data
Tekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2016 This article describes the criteria for detection of outliers power depending on a small size sample. Removing outliers is one of the stages of signals pre-processing.
B. C. Попукайло
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RODA: A Fast Outlier Detection Algorithm Supporting Multi-Queries
IEEE Access, 2021 Outlier detection is an important task in the field of big data analysis. The technology has been extensively used in network security, sensor data analysis, public health and so on.
Xite Wang, Jiafan Li, Mei Bai, Qian Ma
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COPA—cancer outlier profile analysis [PDF]
Bioinformatics, 2006 Abstract Summary: Chromosomal translocations are common in cancer, and in some cases may be causal in the progression of the disease. Using microarrays, in which the expression of thousands of genes are simultaneously measured, could potentially allow one to detect recurrent translocations for a particular cancer type.
James W. MacDonald, Debashis Ghosh
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Collabra: Psychology, 2018 Recently, Brummelman, Thomaes, Orobio de Castro, Overbeek, and Bushman (2014: Study 3) demonstrated that inflated praise benefits challenge seeking of children with high self-esteem, but harms challenge seeking of children with low self-esteem.
Peter P. J. L. Verkoeijen +2 more
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Outlier Detection in Classification Analysis: An Overview [PDF]
The Egyptian Statistical Journal, 1993 Some of the techniques used for detecting multivariate outliers can be used for detecting outliers in classification analysis. However, detecting outliers in classification analysis is more complicated than in any other analysis since the impact of an ...
Ramses Sadek
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Modal Parameter Identification Of Cable Stayed Bridge Based On Exploratory Data Analysis
Archives of Civil Engineering, 2015 In order to identify the modal parameters of civil structures it is vital to distinguish the defective data from that of appropriate and accurate data. The defects in data may be due to various reasons like defects in the data collection, malfunctioning ...
Khan I., Shan D., Li Q.
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Outlier Detection Credit Card Transactions Using Local Outlier Factor Algorithm (LOF)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Threats or fraud for credit card owners and banks as service providers have been harmed by the actions of perpetrators of credit card thieves. All transaction data are stored in the bank's database, but are limited in information and cannot be used as a ...
Silvano Sugidamayatno, Danang Lelono
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