A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams
IEEE Access, 2018 In diverse applications ranging from social networks to location-based online services to traffic monitoring, data streams are continuously monitored by multiple outlier analysts customized with different parameter settings.
Guanzhe Zhao +4 more
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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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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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Survey of advances and challenges in intelligent autonomy for distributed cyber-physical systems
CAAI Transactions on Intelligence Technology, 2018 With the evolution of the Internet of things and smart cities, a new trend of the Internet of simulation has emerged to utilise the technologies of cloud, edge, fog computing, and high-performance computing for design and analysis of complex cyber ...
David W. McKee +3 more
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Improving adaptive bagging methods for evolving data streams [PDF]
, 2009 We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (ASHT) Bagging.
Pfahringer, Bernhard +7 more
core +1 more source
Context-aware adaptive data stream mining [PDF]
, 2009 In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady +9 more
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eRules: a modular adaptive classification rule learning algorithm for data streams [PDF]
, 2012 Advances in hardware and software in the past decade allow to capture, record and process fast data streams at a large scale. The research area of data stream mining has emerged as a consequence from these advances in order to cope with the real time ...
Salvador, M. M. +10 more
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Lower bounds for multi-pass processing of multiple data streams [PDF]
, 2009 This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-called mp2s-automata.
Schweikardt, Nicole
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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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Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift
Information, 2019 Most existing multi-label data streams classification methods focus on extending single-label streams classification approaches to multi-label cases, without considering the special characteristics of multi-label stream data, such as label dependency ...
Yange Sun, Han Shao, Shasha Wang
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