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Project

Anomaly Detection in Massive Time Series (ANDES)

The goal is a functioning prototype of ANDES, a software platform for context-aware anomaly detection in massive time series data. The platform (1) gives its users the flexibility to add a broad spectrum of domain knowledge to the detection models, and (2) integrates data-driven learning and reasoning with domain knowledge to create high-performance, context-aware anomaly detection models.

Date:1 Jan 2021 →  31 Dec 2022
Keywords:anomaly detection, massive time series, context-aware
Disciplines:Software engineering, Data mining