Results 21 to 30 of about 36,814 (268)
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems
Sensors, 2021 In smart buildings, many different systems work in coordination to accomplish their tasks. In this process, the sensors associated with these systems collect large amounts of data generated in a streaming fashion, which is prone to concept drift.
Vishnu Manasa Devagiri +4 more
doaj +1 more source
An Online Visualization System for Streaming Log Data of Computing Clusters
Tsinghua Science and Technology, 2013 Monitoring a computing cluster requires collecting and understanding log data generated at the core, computer, and cluster levels at run time. Visualizing the log data of a computing cluster is a challenging problem due to the complexity of the ...
Jing Xia +5 more
doaj +1 more source
PrefixSpan Based Pattern Mining Using Time Sliding Weight From Streaming Data
IEEE Access, 2020 This study proposes the prefixSpan based pattern mining using time sliding weight from streaming data. To discover sequential patterns, it applies a time sliding weight to create a structure of projected DB Tree.
Ji-Soo Kang +2 more
doaj +1 more source
Phantom-Driven Hybrid Deep Learning Classifier Systems for Real-Time Decision Making [PDF]
پژوهشهای نظری و کاربردی هوش ماشینیLearning Classifier Systems are recognized as a hybrid framework that integrates rule-based interpretability with adaptive learning. However, classical LCS models experience performance degradation when handling high-dimensional, multichannel dynamic ...
MohammadReza DehghaniMahmoudAbadi +1 more
doaj +1 more source
A Fully Streaming Big Data Framework for Cyber Security Based on Optimized Deep Learning Algorithm
IEEE Access, 2023 Real-time deep learning faces the challenge of balancing accuracy and time, especially in cybersecurity where intrusion detection is crucial. Traditional deep learning techniques have been insufficient in identifying network anomalies and intrusions.
Noha Hussen +3 more
doaj +1 more source
Research World, 2016 Big Data is top of mind in many organisations because of the flood of data now available. There is a belief that analysing Big Data can bring substantial competitive advantages. However collecting and storing the massive data streams‒although a challenge in itself‒is only part of the story.
Kooge, Edwin +2 more
openaire +2 more sources
Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incrementa Approach
Sensors, 2020 To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth.
Kangqing Yu, Wei Shi, Nicola Santoro
doaj +1 more source
Real-Time Power System Event Detection: A Novel Instance Selection Approach
IEEE Access, 2023 This study presents a novel adaptation of the Hoeffding Adaptive Tree (HAT) classifier with an instance selection algorithm that detects and identifies cyber and non-cyber contingencies in real time to enhance the situational awareness of cyber-physical ...
Gabriel Intriago, Yu Zhang
doaj +1 more source
Data stream clustering: a review [PDF]
Artificial Intelligence Review, 2020 Has been accepted for publication in Artificial Intelligence ...
Alaettin Zubaroglu, Volkan Atalay
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source