Results 11 to 20 of about 190,177 (262)
Unsupervised Outlier Profile Analysis
Cancer Informatics, 2014 In much of the analysis of high-throughput genomic data, “interesting” genes have been selected based on assessment of differential expression between two groups or generalizations thereof.
Debashis Ghosh, Song Li
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A Guide for Private Outlier Analysis. [PDF]
IEEE Lett Comput Soc, 2020 The increasing societal demand for data privacy has led researchers to develop methods to preserve privacy in data analysis. However, outlier analysis, a fundamental data analytics task with critical applications in medicine, finance, and national security, has only been analyzed for a few specialized cases of data privacy.
Asif H, Papakonstantinou PA, Vaidya J.
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Differentially Private Analysis of Outliers [PDF]
CoRR, 2015 This paper presents an investigation of differentially private analysis of distance-based outliers. Outlier detection aims to identify instances that are apparently distant from other instances. Meanwhile, the objective of differential privacy is to conceal the presence or absence of any particular instance. Outlier detection and privacy protection are
Rina Okada, Kazuto Fukuchi, Jun Sakuma
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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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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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