Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domain
暫譯: 時間關鍵移動預測的大數據分析:從原始數據到航空和海事領域的軌跡導向移動分析
Vouros, George A., Andrienko, Gennady, Doulkeridis, Christos
- 出版商: Springer
- 出版日期: 2021-06-24
- 售價: $7,920
- 貴賓價: 9.5 折 $7,524
- 語言: 英文
- 頁數: 361
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030451666
- ISBN-13: 9783030451660
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相關分類:
大數據 Big-data、Data Science
海外代購書籍(需單獨結帳)
商品描述
Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains.- Mobility Data: A Perspective from the Maritime Domain.- The Perspective on Mobility Data from the Aviation Domain.- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories.- Visual Analytics in the Aviation and Maritime Domains.- Trajectory Detection and Summarization over Surveillance Data Streams.- Part III: Trajectory Oriented Data Management for Mobility Analytics.- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology.- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities.- Distributed Storage of Large Knowledge Graphs with Mobility Data.- Part IV: Analytics Towards Time Critical Mobility Forecasting.- Future Location and Trajectory Prediction.- Event Processing for Maritime Situational Awareness.- Offline Trajectory Analytics.- Part V Big Data Architectures for Time Critical Mobility Forecasting.- The δ Big Data Architecture for Mobility Analytics.- Part VI: Ethical Issues for Time Critical Mobility Analytics.- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting.
商品描述(中文翻譯)
第一部分:時間關鍵的移動操作與數據:來自海事與航空領域的觀點。- 移動數據:來自海事領域的觀點。- 來自航空領域的移動數據觀點。- 第二部分:視覺分析與軌跡檢測與摘要:探索數據與構建軌跡。- 航空與海事領域的視覺分析。- 基於監控數據流的軌跡檢測與摘要。- 第三部分:針對移動分析的軌跡導向數據管理。- 建模移動數據並構建大型知識圖譜以支持分析:datAcron 本體。- 通過發現時空實體之間的拓撲與鄰近關係來整合數據。- 大型知識圖譜的分佈式存儲與移動數據。- 第四部分:針對時間關鍵的移動預測的分析。- 未來位置與軌跡預測。- 海事情境意識的事件處理。- 離線軌跡分析。- 第五部分:針對時間關鍵的移動預測的大數據架構。- 移動分析的 δ 大數據架構。- 第六部分:時間關鍵的移動分析的倫理問題。- 時間關鍵的移動預測中大數據分析的倫理問題。
作者簡介
George Vouros is a Professor at the Department of Digital Systems, University of Piraeus, where he also heads the AI Lab. He has conducted extensive research in the areas of expert systems, knowledge management, knowledge representation and reasoning with ontologies, multi-agent systems and reinforcement learning. He also coordinated the datAcron Big Data project (H2020 ICT-16), on which this book is based.
Dr. Gennady Andrienko is a lead scientist responsible for visual analytics research at the Fraunhofer Institute IAIS (Sankt Augustin, Germany) and Full Professor at City University London. He has co-authored two monographs "Exploratory Analysis of Spatial and Temporal Data" (Springer, 2006) and "Visual Analytics of Movement" (Springer, 2013) and ca. 100 peer-reviewed journal papers. Gennady Andrienko received the Test of Time award at IEEE VAST 2018 and best paper awards at the AGILE 2006, IEEE VAST 2011 and 2012 conferences and EuroVA 2018 workshop.
Christos Doulkeridis is an Assistant Professor at the Department of Digital Systems at the University of Piraeus. He had been awarded both a Marie Curie fellowship and an ERCIM "Allain Bensoussan" fellowship for post-doctoral studies at the Norwegian University of Science and Technology. His research interests include big data management, parallel and distributed query processing, as well as indexing of spatial, spatio-temporal, and spatio-textual data.
Nikolaos Pelekis is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus, Greece. His research interests include all aspects of data science, particularly mobility data management and mining. Nikos has co-authored one monograph and more than 100 refereed articles in scientific journals and conference proceedings, has received three best paper awards and won the SemEval'17 competition.
Alexander Artikis is an Assistant Professor at the University of Piraeus and a Research Associate at the National Centre for Scientific Research (NCSR) "Demokritos," where he leads the Complex Event Recognition group. His research interests lie in the fields of artificial intelligence and distributed systems. Most of his work has been on (norm-governed) multi-agent systems and complex event recognition.
Anne‐Laure Jousselme works at the NATO Centre for Maritime Research and Experimentation in La Spezia, Italy, and serves on the Boards of Directors of the International Society of Information Fusion and the Belief Functions and Applications Society. Her research interests include maritime anomaly detection, information fusion, reasoning under uncertainty, and information quality.
Cyril Ray is an Associate Professor of Computer Science at Arts & Métiers - ParisTech, attached to the Naval Academy Research Institute (IRENav) in France. His current research focus is on the modelling and design of location-based services. His work mainly concerns theoretical aspects of the design of ubiquitous and adaptive location-based services applied to human mobility, maritime and urban transportation systems.
José Manuel Cordero is a Principal Researcher at CRIDA (ATM R&D Reference Centre, attached to the Spanish ANSP, ENAIRE) in Madrid, with extensive experience in the Air Traffic Management domain in the areas of operational performance monitoring and management, advanced computing in data analysis, and data-driven modelling. He has led a number of research projects such as SESAR Performance Management. José Manuel has co-authored more than 30 peer-reviewed papers in journals and conferences, receiving two best paper awards. He also received the Jane' ATC Environment Award recognizing achievements in green ATM concepts. Since August 2019, he has also been appointed as a member of the EUROCONTROL Performance Review Commission.
David Scarlatti is a Data Solutions Architect at Boeing Research & Technology Europe in the Aerospace Operational Efficiency group, where he applies data analytics technologies to a wide range of aviation-related problems. His fields of expertise include big data analysis, data visualization, cyber security and human-machine interfaces.
作者簡介(中文翻譯)
喬治·沃羅斯是比雷埃夫斯大學數位系的教授,並且負責人工智慧實驗室。他在專家系統、知識管理、知識表示與本體推理、多代理系統和強化學習等領域進行了廣泛的研究。他還協調了基於此書的datAcron大數據項目(H2020 ICT-16)。
根納季·安德里耶諾是德國聖奧古斯丁的弗勞恩霍夫IAIS研究所的視覺分析研究首席科學家,並且是倫敦城市大學的全職教授。他共同撰寫了兩本專著《空間與時間數據的探索性分析》(Springer, 2006)和《運動的視覺分析》(Springer, 2013),以及約100篇經過同行評審的期刊論文。根納季·安德里耶諾在IEEE VAST 2018獲得了「時間考驗獎」,並在AGILE 2006、IEEE VAST 2011和2012會議及EuroVA 2018研討會上獲得最佳論文獎。
基里斯托斯·杜爾基里迪斯是比雷埃夫斯大學數位系的助理教授。他曾獲得瑪麗·居里獎學金和ERCIM「阿蘭·本索桑」獎學金,以進行挪威科技大學的博士後研究。他的研究興趣包括大數據管理、平行和分散式查詢處理,以及空間、時空和時空文本數據的索引。
尼古拉斯·佩萊基斯是希臘比雷埃夫斯大學統計與保險科學系的副教授。他的研究興趣涵蓋數據科學的各個方面,特別是移動數據管理和挖掘。尼古拉斯共同撰寫了一本專著,並在科學期刊和會議論文集中發表了超過100篇經過審核的文章,獲得了三個最佳論文獎,並贏得了SemEval'17競賽。
亞歷山大·阿爾提基斯是比雷埃夫斯大學的助理教授,也是國家科學研究中心(NCSR)「德莫克里托斯」的研究助理,負責複雜事件識別小組。他的研究興趣集中在人工智慧和分散式系統領域。他的大部分工作集中在(規範驅動的)多代理系統和複雜事件識別上。
安·勞爾·朱塞梅在意大利拉斯佩齊亞的北約海洋研究與實驗中心工作,並擔任國際信息融合學會和信念函數與應用學會的董事會成員。她的研究興趣包括海洋異常檢測、信息融合、不確定性推理和信息質量。
西里爾·雷是巴黎工藝學院的計算機科學副教授,隸屬於法國海軍學院研究所(IRENav)。他目前的研究重點是基於位置的服務的建模和設計。他的工作主要涉及應用於人類移動、海事和城市交通系統的普遍和自適應基於位置的服務的設計理論方面。
荷西·曼努埃爾·科爾德羅是位於馬德里的CRIDA(西班牙航空交通管理研究與發展參考中心,隸屬於西班牙ANSP,ENAIRE)的首席研究員,在航空交通管理領域擁有豐富的經驗,專注於操作性能監控與管理、高級數據分析計算和數據驅動建模。他曾領導多個研究項目,如SESAR性能管理。荷西·曼努埃爾共同撰寫了超過30篇經過同行評審的期刊和會議論文,並獲得兩個最佳論文獎。他還獲得了Jane航空交通環境獎,以表彰其在綠色航空交通管理概念方面的成就。自2019年8月以來,他還被任命為EUROCONTROL性能審查委員會的成員。
大衛·斯卡拉提是波音研究與技術歐洲部的數據解決方案架構師,隸屬於航空運營效率小組,專注於將數據分析技術應用於各種航空相關問題。他的專業領域包括大數據分析、數據可視化、網絡安全和人機界面。