Volume 4, Issue 3 (March 2018)

Scalable And Generic Framework For Automated Time-series Anomaly Detection

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Volume 12 Issue 10

October 2026

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Author(s)

Miss. Ankita S. Nathe Prof. Chetan J. Shelke

Abstract

Early Detection Of Anomalies Plays A Key Role In Maintaining Consistency Of Person's Data. Current State Of The Art Anomaly Detection Approaches Suffer From Scalability, Use-case Restrictions, Difficulty Of Use And A Large Number Of False Positives. The E

Keywords

Anomaly Detection Extensible Generic Outlier Time-series

Paper ID

IJSARTV4I321380

Publication Date

March 11, 2018

Research Area

Computer Science & Engineering

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