Results 11 to 20 of about 238,473 (148)
Remote Sensing, 2021 Remote sensing streams continuous data feed from the satellite to ground station for data analysis. Often the data analytics involves analyzing data in real-time, such as emergency control, surveillance of military operations or scenarios that change ...
Shimin Hu +6 more
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Multivariate Spatial Condition Mapping Using Subtractive Fuzzy Cluster Means
Sensors, 2014 Wireless sensor networks are usually deployed for monitoring given physical phenomena taking place in a specific space and over a specific duration of time.
Hakilo Sabit, Adnan Al-Anbuky
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IEEE Access, 2021 The `Big Data' of yesterday is the `data' of today. As technology progresses, new challenges arise and new solutions are developed. Due to the emergence of Internet of Things applications within the last decade, the field of Data Mining has been faced ...
Timothee Dubuc +2 more
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Noval Stream Data Mining Framework under the Background of Big Data
Cybernetics and Information Technologies, 2016 Stream data mining has been a hot topic for research in the data mining research area in recent years, as it has an extensive application prospect in big data ages.
Yi Wenquan, Teng Fei, Xu Jianfeng
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AIS-Clus: A Bio-Inspired Method for Textual Data Stream Clustering [PDF]
Vietnam Journal of Computer Science, 2019 The spread of real-time applications has led to a huge amount of data shared between users. This vast volume of data rapidly evolving over time is referred to as data stream.
Amal Abid +2 more
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Journal of Internet Services and Applications, 2020 In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a ...
Dianne S. V. Medeiros +7 more
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Process-Oriented Stream Classification Pipeline: A Literature Review
Applied Sciences, 2022 Due to the rise of continuous data-generating applications, analyzing data streams has gained increasing attention over the past decades. A core research area in stream data is stream classification, which categorizes or detects data points within an ...
Lena Clever +4 more
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Concept Drift Detection in Data Stream Mining : A literature review
Journal of King Saud University: Computer and Information Sciences, 2022 In recent years, the availability of time series streaming information has been growing enormously. Learning from real-time data has been receiving increasingly more attention since the last decade.
Supriya Agrahari, Anil Kumar Singh
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Hybridizing data stream mining and technical indicators in automated trading systems [PDF]
, 2011 Automated trading systems for financial markets can use data mining techniques for future price movement prediction. However, classifier accuracy is only one important component in such a system: the other is a decision procedure utilizing the prediction
Mayo, Michael
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Value Stream Mapping and Process Mining: A Lean Method Supported by Data Analytics
Proceedings of the Conference on Production Systems and Logistics, 2020 The analysis and further the reorganization of an order-production is a typical scope of application of a value stream mapping. Value stream mapping is a lean-management method to map the current state of a series of processes that are necessary to ...
Mertens, Katharina +2 more
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