metric anomaly detection

DataFunSummit

Dec 19, 2023 · Big Data

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

This article presents NetEase Yanxuan's end‑to‑end approach for automatically detecting and diagnosing metric anomalies in e‑commerce, covering background motivation, three types of anomalies, statistical detection frameworks (GESD, volatility, Mann‑Kendall), post‑processing, contribution‑decomposition methods, dimension‑explosion challenges, optimization techniques, and a brief Q&A.

Diagnosticsbig datacontribution analysis

0 likes · 18 min read

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

Data Thinking Notes

Dec 7, 2023 · Big Data

How NetEase Yanxuan Detects and Diagnoses Metric Anomalies at Scale

This article explains NetEase Yanxuan's end‑to‑end practice for automatically detecting, classifying, and diagnosing metric anomalies in e‑commerce, covering background motivation, three anomaly types, statistical detection frameworks (GESD, volatility, trend), post‑processing, contribution‑decomposition methods, dimension‑explosion challenges, and practical optimizations.

contribution decompositiondata monitoringe-commerce

0 likes · 20 min read

How NetEase Yanxuan Detects and Diagnoses Metric Anomalies at Scale

DataFunTalk

Nov 8, 2023 · Fundamentals

Metric Anomaly Detection and Diagnosis Practices at NetEase Yanxuan

This article presents NetEase Yanxuan's end‑to‑end approach for automatically detecting and diagnosing metric anomalies in e‑commerce, covering background motivations, statistical detection methods (absolute, volatility, trend), contribution‑decomposition diagnosis, optimization techniques for dimensional explosion, and a Q&A on practical implementation.

contribution decompositiondiagnostic analysise-commerce analytics

0 likes · 17 min read