A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

13 code implementations • 7 Apr 2017 • Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison Cottrell

The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades.

Time Series Time Series Prediction

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations

2 code implementations • ACM SIGKDD international conference on Knowledge discovery and data mining 2016 • Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang

Structures and evolutions of the invariance network, in particular the vanishing correlations, can shed important light on locating causal anomalies and performing diagnosis.

Management Root Cause Ranking

Behavior Query Discovery in System-Generated Temporal Graphs

no code implementations • 18 Nov 2015 • Bo Zong, Xusheng Xiao, Zhichun Li, Zhen-Yu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang

In this work, we investigate how to query temporal graphs and treat query formulation as a discriminative temporal graph pattern mining problem.