Multi-Level Association Rule Mining for Wireless Network Time Series Data

no code implementations • 15 Dec 2022 • Chen Zhu, Chengbo Qiu, Shaoyu Dou, Minghao Liao

Key performance indicators(KPIs) are of great significance in the monitoring of wireless network service quality.

Management Time Series +1

CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization

no code implementations • 11 Dec 2022 • Shuo Yang, Yang Jiao, Shaoyu Dou, Mana Zheng, Chen Zhu

The bilevel optimization is used to automatically update the hyperparameter, and the gradient of the hyperparameter is the approximate gradient based on the best response function.

Bilevel Optimization Hyperparameter Optimization

Task-aware Similarity Learning for Event-triggered Time Series

no code implementations • 17 Jul 2022 • Shaoyu Dou, Kai Yang, Yang Jiao, Chengbo Qiu, Kui Ren

The proposed framework aspires to offer a stepping stone that gives rise to a systematic approach to model and learn similarities among a multitude of event-triggered time series.

Anomaly Detection Time Series +1

TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series

no code implementations • 4 Oct 2020 • Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song

To this end, we propose an autonomous representation learning approach for multivariate time series (TimeAutoML) with irregular sampling rates and variable lengths.

Anomaly Detection Clustering +4