This code is the official PyTorch implementation of our KDD'25 paper: DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. If you find this project helpful, please don't forget to give ...

Abstract: Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains.

USA TODAY Sports has live coverage of Dodgers vs. Blue Jays in World Series Game 4. In a dramatic World Series moment, Freddie Freeman hit a walk-off homer to finish the six-hour, 39-minute, 18-inning ...

Americans seem to like shows about drug runners almost as much as they like the drugs themselves. And while many of the greatest narco stories are police procedurals like “The Wire,” there are a ...

ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have ...

Abstract: Multivariate time-series anomaly detection (MTSAD) remains challenging due to the complexity of spatiotemporal dependencies, nonstationary dynamics, and heterogeneous variable interactions.