| 书目名称 | Spatio-Temporal Data Streams | | 编辑 | Zdravko Galić | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed 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, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. . .Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing.. .Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.. | | 出版日期 | Book 2016 | | 关键词 | Spatio-temporal; Data streams; Geostreaming; Big spatial data; Distributed processing; Complex event proc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4939-6575-5 | | isbn_softcover | 978-1-4939-6573-1 | | isbn_ebook | 978-1-4939-6575-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2016 |
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发表于 2025-3-21 19:37:18
