Results 21 to 30 of about 24,707,127 (346)
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
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Evaluation methods and decision theory for classification of streaming data with temporal dependence [PDF]
, 2014 Predictive modeling on data streams plays an important role in modern data analysis, where data arrives continuously and needs to be mined in real time.
Pfahringer, Bernhard +4 more
core +1 more source
Search Techniques for the Web of Things: A Taxonomy and Survey
Sensors, 2016 The Web of Things aims to make physical world objects and their data accessible through standard Web technologies to enable intelligent applications and sophisticated data analytics.
Yuchao Zhou +3 more
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2011 Data Compression Conference, 2011 We present a general-purpose, loss less compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the inference procedure used in the probabilistic model underpinning deplump are introduced that yield the computational asyptotics necessary for stream compression. We demonstrate the
Bartlett, N, Wood, F
openaire +2 more sources
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
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Demonstration of the CompactPSH Incentive Scheme in a Peer-to-Peer Streaming Application [PDF]
, 2009 This demo shows the CompactPSH incentive scheme integrated in LiveShift. LiveShift is a peer-to-peer video streaming application, which supports both live streaming and video-on-demand.
Hausheer, David +4 more
core +4 more sources
Toward Budgeted Online Kernel Ridge Regression on Streaming Data
IEEE Access, 2019 “Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online ...
Fuhao Gao +3 more
doaj +1 more source
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
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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
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A Wrist Sensor Sleep Posture Monitoring System: An Automatic Labeling Approach
Sensors, 2021 In the hospital, a sleep postures monitoring system is usually adopted to transform sensing signals into sleep behaviors. However, a home-care sleep posture monitoring system needs to be user friendly.
Po-Yuan Jeng +3 more
doaj +1 more source