Dynamic multi-scale topological representation for enhancing network intrusion detection

M Zhong, M Lin, Z He - Computers & Security, 2023 - Elsevier
Network intrusion detection systems (NIDS) play a crucial role in maintaining network
security. However, current NIDS techniques tend to neglect the topological structures of …

A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques

X Li, Y Gao, H Chang, D Huang, Y Ma… - Statistical Theory and …, 2024 - Taylor & Francis
This paper presents a selective review of statistical computation methods for massive data
analysis. A huge amount of statistical methods for massive data computation have been …

Sequential one-step estimator by sub-sampling for customer churn analysis with massive data sets

F Wang, D Huang, T Gao, S Wu… - Journal of the Royal …, 2022 - academic.oup.com
Customer churn is one of the most important concerns for large companies. Currently,
massive data are often encountered in customer churn analysis, which bring new …

CluBear: a subsampling package for interactive statistical analysis with massive data on a single machine

K Xu, Y Zhu, Y Liu, H Wang - Communications in Statistics …, 2024 - Taylor & Francis
This article introduces CluBear, a Python-based open-source package for interactive
massive data analysis. The key feature of CluBear is that it enables users to conduct …

Internet of Things Massive Data Analysis System Based on Association Rules Algorithm

C He - 2024 7th International Conference on Advanced …, 2024 - ieeexplore.ieee.org
With the vigorous development of the social economy and the continuous improvement of
the level of science and technology, people's requirements for the quality of life are …