Results 1 to 10 of about 935,434 (195)
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly [PDF]
Entropy, 2021 When confronted with massive data streams, summarizing data with dimension reduction methods such as PCA raises theoretical and algorithmic pitfalls.
Le Li, Benjamin Guedj
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A Quality Control Methodology for Heterogeneous Vehicular Data Streams [PDF]
Sensors, 2022 The rapid evolution of sensors and communication technologies has led to the production and transfer of mass data streams from vehicles either inside their electronic units or to the outside world using the internet infrastructure.
Konstantina Remoundou +4 more
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Adaptive Regression Analysis of Heterogeneous Data Streams via Models with Dynamic Effects
Mathematics, 2023 Streaming data sequences arise from various areas in the era of big data, and it is challenging to explore efficient online models that adapt to them. To address the potential heterogeneity, we introduce a new online estimation procedure to analyze the ...
Jianfeng Wei +4 more
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An Online Anomaly Detection Approach for Fault Detection on Fire Alarm Systems
Sensors, 2023 The early detection of fire is of utmost importance since it is related to devastating threats regarding human lives and economic losses. Unfortunately, fire alarm sensory systems are known to be prone to failures and frequent false alarms, putting ...
Emanuel Sousa Tomé +3 more
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Review of Anomaly Detection Algorithms for Data Streams
Applied Sciences, 2023 With the rapid development of emerging technologies such as self-media, the Internet of Things, and cloud computing, massive data applications are crossing the threshold of the era of real-time analysis and value realization, which makes data streams ...
Tianyuan Lu, Lei Wang, Xiaoyong Zhao
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Survey of Continuous Queries over Spatial-Textual Data Streams
Jisuanji kexue yu tansuo, 2021 The continuous queries over spatial-textual data streams (CQST) are widely used in location-based services, which continuously monitor the results satisfying spatial and textual constraints over updated data streams.
YANG Rong, NIU Baoning
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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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Data stream management system for moving sensor object data [PDF]
Serbian Journal of Electrical Engineering, 2015 Sensor and communication development has led to the development of new types of applications. Classic database data storage becomes inadequate when data streams arrive from multiple sensors.
Jovanović Željko
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Streaming-Based Anomaly Detection in ITS Messages
Applied Sciences, 2023 Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure.
Juliet Chebet Moso +4 more
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Introduction to stream: An Extensible Framework for Data Stream Clustering Research with R
Journal of Statistical Software, 2017 In recent years, data streams have become an increasingly important area of research for the computer science, database and statistics communities. Data streams are ordered and potentially unbounded sequences of data points created by a typically non ...
Michael Hahsler +2 more
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