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Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit

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发表于 2025-3-21 16:38:32 | 显示全部楼层 |阅读模式
书目名称Software and Data Engineering
副标题33rd International C
编辑Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit
描述.This book constitutes the proceedings of the 33rd International Conference on Software and Data Engineering, SEDE 2024, held in San Diego, California, USA, during October 21-22, 2024...The 14 full papers presented in these proceedings were carefully reviewed and selected from 25 submissions. These papers focus on a wide range of topics within Software and Data engineering and have been categorized into the following topical sections: Software Engineering and Data Science & Artificial Intelligence..
出版日期Conference proceedings 2025
关键词Software Engineering; Data Engineering; Artificial Intelligence; Machine Learning; Internet of Things; Te
版次1
doihttps://doi.org/10.1007/978-3-031-75201-8
isbn_softcover978-3-031-75200-1
isbn_ebook978-3-031-75201-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Daniel Lanfear,Mina Maleki,Shadi Banitaanibuted processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distribute
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Aziz Fellaheading to an exponential growth of available spatio-temporal data produced continuously at hight speed. Spatio-temporal data streams, i.e. real-time, transient, time-varying sequences of spatiotemporal data items, demonstrates at least two Big Data core features: . and .. To handle the volumes of da
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Harris Wangcess is provided utilizing WWW-based visual interfaces. If spatio-temporal data are queried, data visualization and exploration in a spatial and temporal context is needed to better present and analyze spatio-temporal behaviours and relationships. In existing WWW-based interfaces of temporal geograp
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Eden Teshome Hundes, these spatial databases are augmented with a number of functions directly related to geography. Queries based on distance, surface, and spatial aggregation are but a few examples. Even more important are the extended possibilities for visualization that a typical GIS application offers. Because o
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