Results 11 to 20 of about 526,550 (191)
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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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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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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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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Outlier Mining Methods Based on Graph Structure Analysis [PDF]
, 2019 Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms.
Almeira, Nahuel +2 more
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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 identification in radiation therapy knowledge-based planning: A study of pelvic cases. [PDF]
, 2017 PURPOSE: The purpose of this study was to apply statistical metrics to identify outliers and to investigate the impact of outliers on knowledge-based planning in radiation therapy of pelvic cases.
Aggarwal +23 more
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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 analysis for microarray gene
International journal of health sciences, 2022 Pre-processing data is a critical component of data mining, as it comprises anomaly identification, outlier analysis, and dimensionality reduction utilising a distance-based technique. This research study demonstrates that in order to cope with scarcity difficulties in high dimensional spaces, computations should be limited to such data.
M Rashmi, Manish Varshney
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Hybrid Detection of Anomalies in Financial Transactions: A Rule-Based and Machine Learning Approach [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied InformaticsThis paper presents a hybrid methodology for detecting anomalies in financial transactions including card-initiated transactions and payments by combining rule-based logic with unsupervised machine learning techniques.
Alexandra Stavrositu (Caratas) +4 more
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