| 書目名稱 | Spatio-Temporal Graph Data Analytics | | 編輯 | Venkata M. V. Gunturi,Shashi Shekhar | | 視頻video | http://file.papertrans.cn/874/873608/873608.mp4 | | 概述 | Describes a unique overarching model which can support a wide variety of spatio-temporal graph data.Covers A* and bi-directional search for determining fastest paths over spatio-temporal graphs.Introd | | 圖書封面 |  | | 描述 | .This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing?scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal?graph data in two application domains, viz., urban transportation and social networks.?Then the authors present representational models and data structures, which can effectively?capture these semantics, while ?ensuring support for computationally scalable algorithms..In the first part of the book, the authors describe algorithmic developmentissues in spatio-temporal graph data. These algorithms?internally use the semantically rich data structures developed in the earlier?part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss?some open research problems in the area.?..This book will be useful as a secondary text for advanced-level students entering into relevant?fields of computer science, such as transportation and urban planning. It may also?be useful for ?researchers and practitioners in the field of navigational algorithms.. | | 出版日期 | Book 2017 | | 關(guān)鍵詞 | spatio-temporal networks; spatial databases; geographic information science; graph algorithms; transport | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-67771-2 | | isbn_softcover | 978-3-319-88486-8 | | isbn_ebook | 978-3-319-67771-2 | | copyright | Springer International Publishing AG 2017 |
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