| 期刊全称 | Big Data Analytics for Time-Critical Mobility Forecasting | | 期刊简称 | From Raw Data to Tra | | 影响因子2023 | George A. Vouros,Gennady Andrienko,David Scarlatti | | 视频video | | | 发行地址 | Provides comprehensive descriptions of big data solutions for activity detection and forecasting very large numbers of moving entities spread across large geographical areas.Details novel approaches a | | 图书封面 |  | | 影响因子 | .This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating and noisy data streams from moving entities, correlating them with data from archived data sources expressing e.g. entities’ characteristics, geographical information, mobility patterns, mobility regulations and intentional data. ..The book is divided into six parts: Part I discusses the motivation and background of mobility forecasting supported by trajectory-oriented analytics, and includes specific problems and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and processing, and presents novel technologies suitable for mobility analytics components. Next, Part III describes solutions toward processing and managing big spatio-temporal data, particularly enriching data streams a | | Pindex | Book 2020 |
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发表于 2025-3-21 19:26:29
