Feature selection for online streaming high-dimensional data: A state-of-the-art review
Abstract Knowledge discovery for data streaming requires online feature selection to reduce
the complexity of real-world datasets and significantly improve the learning process. This is …
the complexity of real-world datasets and significantly improve the learning process. This is …
[HTML][HTML] Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection …
Abstract Intrusion Detection Systems (IDS) have become pivotal in safeguarding information
systems against evolving threats. Concurrently, Concept Drift presents a significant …
systems against evolving threats. Concurrently, Concept Drift presents a significant …
Dynamic early warning of regional atmospheric environmental carrying capacity
Y Su, Y Yu - Science of the Total Environment, 2020 - Elsevier
Economic development cannot exceed the maximum amount that the environment can
support. Therefore, atmospheric environmental policy should be formulated based on the …
support. Therefore, atmospheric environmental policy should be formulated based on the …
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
L Settipalli, GR Gangadharan - Expert Systems with Applications, 2023 - Elsevier
Fraud is an aggravating problem in the health insurance system, causing a substantial
increase in the cost of medical services. Many models have been developed using data …
increase in the cost of medical services. Many models have been developed using data …
Feature drift aware for intrusion detection system using developed variable length particle swarm optimization in data stream
Intrusion Detection Systems (IDS) serve as critical components in safeguarding network
security by detecting malicious activities. Although IDS has recently been treated primarily …
security by detecting malicious activities. Although IDS has recently been treated primarily …
[HTML][HTML] Multi-objective optimization of ultrasonic algae removal technology by using response surface method and non-dominated sorting genetic algorithm-II
Y Kong, Z Zhang, Y Peng - Ecotoxicology and Environmental Safety, 2022 - Elsevier
Ultrasonic technology is an environment-friendly method in algae-laden water treatment with
the advantages of wonderful efficiency and no chemical additions. However, ultrasonic …
the advantages of wonderful efficiency and no chemical additions. However, ultrasonic …
A dynamic feature selection and intelligent model serving for hybrid batch-stream processing
The increasing complexity of real-world applications, especially those related to the Internet
of Things and cloud computing, highlights the importance of using hybrid batch-stream …
of Things and cloud computing, highlights the importance of using hybrid batch-stream …
Non-Dominated Sorting Genetic Algorithm based Dynamic Feature Selection for Intrusion Detection System
Intrusion detection system (IDS) is a combination of software application and hardware
devices that monitors the network and filters activities for malicious or unauthorized access …
devices that monitors the network and filters activities for malicious or unauthorized access …
Adaptive Feature Selection for Predicting Application Performance Degradation in Edge Cloud Environments
B Shayesteh, C Fu, A Ebrahimzadeh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Applications deployed in edge cloud environments can have stringent requirements such as
high throughput and high availability. However, these applications may suffer from …
high throughput and high availability. However, these applications may suffer from …
动态多目标优化进化算法研究进展
马永杰， 陈敏， 龚影， 程时升， 王甄延 - 自动化学报, 2020 - aas.net.cn
动态多目标优化问题(Dynamic multi-objective optimization problems, DMOPs)
已成为工程优化的研究热点, 其目标函数, 约束函数和相关参数都可能随时间不断变化 …
已成为工程优化的研究热点, 其目标函数, 约束函数和相关参数都可能随时间不断变化 …