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Titlebook: Big Data Analytics for Time-Critical Mobility Forecasting; From Raw Data to Tra George A. Vouros,Gennady Andrienko,David Scarlatti Book 202

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發(fā)表于 2025-3-21 19:26:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data Analytics for Time-Critical Mobility Forecasting
期刊簡(jiǎn)稱From Raw Data to Tra
影響因子2023George A. Vouros,Gennady Andrienko,David Scarlatti
視頻videohttp://file.papertrans.cn/186/185617/185617.mp4
發(fā)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
圖書封面Titlebook: Big Data Analytics for Time-Critical Mobility Forecasting; From Raw Data to Tra George A. Vouros,Gennady Andrienko,David Scarlatti Book 202
影響因子.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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Visual Analytics in the Aviation and Maritime Domains in data analysis and problem solving. It develops a methodology of analysis that facilitates human activities by means of interactive visual representations of information. By examples from the domains of aviation and maritime transportation, we demonstrate the essence of the visual analytics metho
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Trajectory Detection and Summarization over Surveillance Data Streamsifically for sailing vessels and flying aircraft. Assuming that surveillance data monitoring their locations over a large geographical area is available in a streaming fashion, this novel methodology drops any predictable positions (along trajectory segments of “normal” motion characteristics) with
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Event Processing for Maritime Situational Awarenessnd garbage, smuggling, piracy and more. We present our efforts to combine two stream reasoning technologies for detecting such activities in real time: a formal, computational framework for composite maritime event recognition, based on the Event Calculus, and an industry-strong maritime anomaly det
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Offline Trajectory Analyticsphones and tablets. This massive-scale data generation has posed new challenges in the data management community in terms of storing, querying, analyzing, and extracting knowledge out of such data. Knowledge discovery out of mobility data is essentially the goal of every mobility data analytics task
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