Results 1 to 10 of about 24,371,806 (309)
ACM SIGMOD Record, 2005 The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic.
Mohamed Medhat Gaber +2 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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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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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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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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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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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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Mining Developer Communication Data Streams
Computer Science & Information Technology ( CS & IT ), 2014 This paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data. In terms of the Jazz repository used in this research, one aspect of that stream of data would be developer communication.
Andy M. Connor +2 more
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