John Paparrizos

SAND in action

2021 · Proceedings of the VLDB Endowment

Subsequence anomaly detection in long data series is a significant problem. While the demand for real-time analytics and decision making increases, anomaly detection methods have to operate over streams and handle drifts in data distribution. …

Volume under the surface

2022 · Proceedings of the VLDB Endowment

Anomaly detection (AD) is a fundamental task for time-series analytics with important implications for the downstream performance of many applications. In contrast to other domains where AD mainly focuses on point-based anomalies (i.e., outliers in …