Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data

Author:

Guggilam Sreelekha,Chandola Varun,Patra Abani K.

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference36 articles.

1. Classifying anomalous members in a collection of multivariate time series data using large deviations principle: An application to COVID-19 data;Guggilam,2022

2. Anomaly detection: A survey;Chandola;ACM Comput. Surv.,2009

3. A survey of outlier detection methodologies;Hodge;Artif. Intell. Rev.,2004

4. Estimation of COVID-19 prevalence in Italy, Spain, and France;Ceylan;Sci. Total Environ.,2020

5. Time series modelling to forecast the confirmed and recovered cases of COVID-19;Maleki;Travel Med. Infect. Dis.,2020

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