Results 21 to 30 of about 935,434 (195)
Вопросы элитологии, 2020 The importance of solving the problem of evaluation and management of foreign politicians’ images is justified. The content of the "image of the political leader of the advanced foreign country (PLAFC) in the minds of Russian citizens (RСs) concept is ...
Yuri M. Brumshteyn
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A Critical Review on the Implementation of Static Data Sampling Techniques to Detect Network Attacks
IEEE Access, 2021 Given that Internet traffic speed and volume are growing at a rapid pace, monitoring the network in a real-time manner has introduced several issues in terms of computing and storage capabilities. Fast processing of traffic data and early warnings on the
Suzan Hajj +6 more
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Data Provenance and Management in Radio Astronomy: A Stream Computing Approach [PDF]
, 2011 New approaches for data provenance and data management (DPDM) are required for mega science projects like the Square Kilometer Array, characterized by extremely large data volume and intense data rates, therefore demanding innovative and highly efficient
Biem, Alain +4 more
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IEEE Access, 2019 Outlier detection in data streams is considered a significant task in data mining that targets the discovery of elements in an unprecedented data arrival rate. The fast arrival of data demands fast computation within the shortest period, and with minimal
Mohamed Jaward Bah +4 more
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Accurate Quantile Estimation for Skewed Data Streams Using Nonlinear Interpolation
IEEE Access, 2018 Quantile estimation is a fundamental method to generate the descriptions of the distribution of data for data management and analysis. Although the investigation and design of efficient quantile estimation algorithm has attracted much study, the problem ...
Jun Liu +3 more
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Annotations in Data Streams [PDF]
ACM Transactions on Algorithms, 2014 The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such algorithms can be further reduced by enlisting a more powerful “helper”
Chakrabarti, Amit +3 more
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IEEE Access, 2019 In this paper, by allocating the limited subchannel resources based on interference alignment (IA) with clustering to mitigate the severe co-tier interference in dense small cell networks (SCNs), we aim at maximizing the number of data streams achieved ...
Hao Zhang, Kunde Yang, Shun Zhang
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TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams
Sensors, 2020 Outlier detection in data streams is crucial to successful data mining. However, this task is made increasingly difficult by the enormous growth in the quantity of data generated by the expansion of Internet of Things (IoT).
Jen-Wei Huang +2 more
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Anomalies Detection Using Isolation in Concept-Drifting Data Streams
Computers, 2021 Detecting anomalies in streaming data is an important issue for many application domains, such as cybersecurity, natural disasters, or bank frauds. Different approaches have been designed in order to detect anomalies: statistics-based, isolation-based ...
Maurras Ulbricht Togbe +5 more
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A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects
Sensors, 2020 This paper evaluates data stream classifiers from the perspective of connected devices, focusing on the use case of Human Activity Recognition. We measure both the classification performance and resource consumption (runtime, memory, and power) of five ...
Martin Khannouz, Tristan Glatard
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