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Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis
Author(s) -
Yuxun Zhou,
Han Zou,
Reza Arghandeh,
Weixi Gu,
Costas J. Spanos
Publication year - 2018
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v32i1.11632
Subject(s) - outlier , anomaly detection , coordinate descent , unobservable , series (stratigraphy) , computer science , time series , parametric statistics , grid , algorithm , event (particle physics) , divergence (linguistics) , data mining , artificial intelligence , pattern recognition (psychology) , mathematics , machine learning , statistics , econometrics , linguistics , physics , philosophy , quantum mechanics , paleontology , geometry , biology

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