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Research Article | 20-February-2013

OUTLIER DETECTION BASED ON SIMILAR FLOCKING MODEL IN WIRELESS SENSOR NETWORKS

Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model

Cheng Chunling, Wu Hao, Yu Zhihu, Zhang Dengyin, Xu Xiaolong

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 18–37

Article | 20-September-2020

Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF)

The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability distributions. The main drawback of the existing methods is, however, that they are distribution-based and ignore the problem of multiple outliers. The local outlier factor (LOF) is a density-based method for detecting outliers in multivariate data and it depends on the local

Ali H. Abuzaid

Statistics in Transition New Series, Volume 21 , ISSUE 3, 39–51

Research paper | 31-October-2017

ROBUST REGRESSION IN MONTHLY BUSINESS SURVEY

Grażyna Dehnel

Statistics in Transition New Series, Volume 16 , ISSUE 1, 137–152

Article | 11-January-2021

Review of Anomaly Detection Based on Log Analysis

accepted and applied by more and more enterprises, and are gradually applied to various industries for data storage and online or offline analysis, which brings opportunities for log data anomaly detection. This article first talks about the related knowledge of log analysis and anomaly detection, and then summarizes the current research status of log anomaly detection from the aspects of template matching, rule generation and outlier analysis, analyzes and classifies the articles that have been read

Xudong Wu

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 4, 40–49

Article | 20-November-2017

INVESTIGATION ON PHOTOELECTRIC THEODOLITE DATA PROCESSING AND RANDOM ERRORS MODEL

Measure error of photoelectric theodolite would influence result precision when tracking flight target. This paper researches error problem of testing. It analyses all the causes of error forming, divides them to several sorts: system error, random error and outlier error, then provides resolution method to each sort. Especially for random error, it builds an error model, analyses the properties of unbiased, equal variance and uncorrelated, conducts best error estimate, discuss the relationship

Xiang Hua, Jinjin Zhang, Bin Lei

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1180–1202

Article

EXTREME GRADIENT BOOSTING METHOD IN THE PREDICTION OF COMPANY BANKRUPTCY

Barbara Pawełek

Statistics in Transition New Series, Volume 20 , ISSUE 2, 155–171

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