A Review on Anomaly Detection in Time Series
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.10, No. 3)Publication Date: 2021-06-11
Authors : Syed Hassan Ali Shah Muhammad Junaid Akbar Usman Ahmed Raza;
Page : 1895-1900
Keywords : ;
Abstract
Time series is a very common class of data sets. Among others, it is very simple to obtain time series data from a variety of various science and finance applications and an anomaly detection technique for time series is becoming a very prominent research topic nowadays. Anomaly identification covers intrusion detection, detection of theft, mistake detection, machine health monitoring, network sensor event detection or habitat disturbance. It is also used for removing suspicious data from the data set before production. This review aims to provide a detailed and organized overview of the Anomaly detection investigation. In this article we will first define what an anomaly in time series is, and then describe quickly some of the methods suggested in the past two or three years for detection of anomaly in time series
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Last modified: 2021-06-11 20:32:14