Author: George A. Vouros
Publisher: Springer Nature
ISBN: 303045164X
Category : Computers
Languages : en
Pages : 378
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Book Description
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 and integrating streamed and archival data to provide coherent views of mobility, and storing of integrated mobility data in large distributed knowledge graphs for efficient query-answering. Part IV focuses on mobility analytics methods exploiting (online) processed, synopsized and enriched data streams as well as (offline) integrated, archived mobility data, and highlights future location and trajectory prediction methods, distinguishing between short-term and more challenging long-term predictions. Part V examines how methods addressing data management, data processing and mobility analytics are integrated in big data architectures with distinctive characteristics compared to other known big data paradigmatic architectures. Lastly, Part VI covers important ethical issues that research on mobility analytics should address. Providing novel approaches and methodologies related to mobility detection and forecasting needs based on big data exploration, processing, storage, and analysis, this book will appeal to computer scientists and stakeholders in various application domains.
Author: Christos Doulkeridis
Publisher: Springer
ISBN: 3319735217
Category : Computers
Languages : en
Pages : 186
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Book Description
This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.
Author: Miguel R. Luaces
Publisher: Springer
ISBN: 3319900536
Category : Computers
Languages : en
Pages : 182
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Book Description
This book constitutes the refereed proceedings of the 16th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2018, held in A Coruña, Spain, in May 2018. The 15 full papers included in the volume were carefully reviewed and selected from 20 submissions. They deal with theoretical, technical, and practical issues in the field of wireless and Internet technologies suited for the dissemination, usage, and processing of geo-referenced data.
Author: Konstantinos Tserpes
Publisher: Springer Nature
ISBN: 3030380815
Category : Application software
Languages : en
Pages : 142
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Book Description
This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.
Author: Alejandro Vaisman
Publisher: Springer Nature
ISBN: 366265167X
Category : Computers
Languages : en
Pages : 696
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Book Description
With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details “Implementation and Deployment,” including physical design, ETL and data warehouse design methodologies. Part III covers “Advanced Topics” and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style. “I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition.” From the foreword by Panos Vassiliadis, University of Ioannina, Greece.
Author: Alexander Artikis
Publisher: Springer Nature
ISBN: 3030618528
Category : Computers
Languages : en
Pages : 336
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Book Description
In the last 25 years, information systems have had a disruptive effect on society and business. Up until recently though, the majority of passengers and goods were transported by sea in many ways similar to the way they were at the turn of the previous century. Gradually, advanced information technologies are being introduced, in an attempt to make shipping safer, greener, more efficient, and transparent. The emerging field of Maritime Informatics studies the application of information technology and information systems to maritime transportation. Maritime Informatics can be considered as both a field of study and domain of application. As an application domain, it is the outlet of innovations originating from data science and artificial intelligence; as a field of study, it is positioned between computer science and marine engineering. This new field’s complexity lies within this duality because it is faced with disciplinary barriers yet demands a systemic, transdisciplinary approach. At present, there is a growing body of knowledge that remains undocumented in a single source or textbook designed to assist students and practitioners. This highly useful textbook/reference starts by introducing required knowledge, algorithmic approaches, and technical details, before presenting real-world applications. The aim is to present interested audiences with an overview of the main technological innovations having a disruptive effect on the maritime industry, as well as to discuss principal ideas, methods of operation and applications, and future developments. The material in this unique volume provides requisite core knowledge for undergraduate or postgraduate students, employing an analytical approach with numerous real-world examples and case studies.
Author: Álvaro Rocha
Publisher: Springer Nature
ISBN: 9811648840
Category : Technology & Engineering
Languages : en
Pages : 521
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Book Description
This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2021), held at Naval Cadet School "Almirante Padilla", in Cartagena, Colombia, during August 18–20, 2021. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3031647769
Category :
Languages : en
Pages : 510
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Book Description
Author: M?zrak, Filiz
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
The world is hyperlinked, globalized, commercial, and innovative, yet it has never reached the pinnacle of progress and interconnection that mankind is capable of. The role of an efficient logistics system in realizing goals of sustainable development has never been more vital. Streamlined logistics can reduce carbon emissions, optimize resource use, and ensure that goods and services are delivered in a manner that supports both economic growth and environmental preservation. By enhancing supply chain efficiency and integrating green technologies, we can achieve a more sustainable and interconnected future, where progress does not come at the expense of the planet. Effective Logistics for Sustainable Development Goals educates, empowers, and inspires stakeholders to leverage effective logistics practices in pursuit of sustainable development goals (SDGs). By providing comprehensive insights, practical guidance, and showcasing success stories, this book illuminates the intricate relationship between logistics and economic advances and social and environmental sustainability. Through promoting an integrated approach to logistics management and fostering collaboration among diverse stakeholders, the book serves as a catalyst for positive change, equipping readers with the knowledge and tools necessary to drive meaningful progress towards a more equitable, resilient, and prosperous future for all. Covering topics such as supply chain management, responsible consumption and production, and electronic logistics, this book is a valuable resource for supply chain professionals, business leaders and entrepreneurs, government officials and policy makers, academicians and researchers, and more.
Author: Chiara Renso
Publisher: Cambridge University Press
ISBN: 1107292360
Category : Computers
Languages : en
Pages : 393
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Book Description
Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.
