IceBerg: Deep Generative Modeling for Constraint Discovery and Anomaly Detection
Automatic constraint discovery from a relational database is beneficial for domain experts in
fraud detection and intelligent auditing. Its objective is to discover a set of inherent …
fraud detection and intelligent auditing. Its objective is to discover a set of inherent …
Complex integrity constraint discovery: measuring trust in modern intelligent railroad systems
Data are at the heart of intelligent rail systems in the high-speed transportation sector (Zhou
et al., 2020; Ho et al., 2021; Hu et al., 2021; Chen et al., 2022). The core of modern …
et al., 2020; Ho et al., 2021; Hu et al., 2021; Chen et al., 2022). The core of modern …
复杂完整性约束: 在现代智能交通系统中衡量模型可信性
目的: 由于使用的列车运行数据偏离系统应用的数据特征, 现代智能交通系统部署的模型推理
结果可能不可靠. 本文旨在研究部署在系统中的模型使用的数据变化对模型性能的影响 …
结果可能不可靠. 本文旨在研究部署在系统中的模型使用的数据变化对模型性能的影响 …
Bridging the Gap: An Integrated Approach to Motif Discovery and Discord Detection in Time-Series Data
W Hu - papers.ssrn.com
Detecting anomalies in time-series data remains a pivotal yet complex task, with far-
reaching implications across various sectors, including healthcare, law enforcement, and …
reaching implications across various sectors, including healthcare, law enforcement, and …