Tagged articles

extreme value theory

3 articles · Page 1 of 1

Jul 24, 2026 · Industry Insights

When a 1.4°C Rise Becomes a Massive Risk: How Standard Deviation Drives Heatwave Impacts

A June 2024 heatwave in Western Europe exposed how a modest 1.4 °C temperature increase can dramatically amplify extreme‑value probabilities, especially nighttime lows, because risk is governed by the ratio of temperature shifts to natural variability rather than absolute degrees, challenging traditional stationary design standards.

Gumbel distributionclimate riskextreme value theory

0 likes · 10 min read

When a 1.4°C Rise Becomes a Massive Risk: How Standard Deviation Drives Heatwave Impacts

Meituan Technology Team

Sep 1, 2022 · Databases

AI-Powered Database Anomaly Detection Service: Feature Analysis, Algorithm Selection, and Real-Time Monitoring

The article details Meituan's database platform team's end‑to‑end design of an AI‑driven anomaly detection service, covering feature analysis of time‑series patterns, algorithm selection (MAD, boxplot, EVT), model training, real‑time detection with Flink, operational metrics, and future enhancements.

AI AlgorithmsBoxplotDatabase Anomaly Detection

0 likes · 19 min read

AI-Powered Database Anomaly Detection Service: Feature Analysis, Algorithm Selection, and Real-Time Monitoring

Architects Research Society

Nov 21, 2016 · Artificial Intelligence

Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization

This article presents a series of data‑science questions and expert answers covering overfitting, experimental design for user behavior, the distinction between tall and wide data, detecting chart junk, outlier detection methods, extreme‑value theory for rare events, recommendation‑engine fundamentals, and techniques for visualizing high‑dimensional data.

Experimental DesignRecommendation Systemschart junk

0 likes · 18 min read

Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization