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 detection of different types of concept drift has wide applications in the fields of cloud
computing and security information detection. Concept drift detection can indeed assist in …

The plethora of existing methods in the streaming environment is sensitive to extensive and
high-dimensional data. The distribution of these streaming data may change concerning …

Abstract Internet of Things (IoT) consists of many physical devices that generate data
continuously and communicate these data among them. This data is continuously evolving …

Изложены современные принципы и подходы к обеспечению информационной
безопасности автоматизированных систем управления технологическими процессами …

Modern principles and approaches to information security of automated process control
systems are presented. The examples of complex attacks on automated control systems are …

Аннотация Постановка проблемы. Современные технологические процессы
представляют собой сложные системы, от безаварийной работы которых во многом …

This article described a method for analyzing the condition of technological processes as an
integral part of a monitoring system based on the one-class SVM approach. The paper …

In the last decades, the interest in mining massive and potentially unbounded datasets
which arrive at rapid rates, namely data streams, has grown substantially. Data Stream …

The article describes a method for monitoring and diagnosing the state of technological
processes with the possibility of dynamic selection of variables. As a basis, the algorithm …