Mobility Data Science - Sakr, Mahmoud;Vaisman, Alejandro;Zimányi, Esteban
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This textbook covers the key topics in mobility data analysis, including all steps of the data science pipeline illustrated with real-world examples.
The book is composed of three parts. Part I Fundamental Concepts provides the background for this book by introducing spatial and temporal databases and motivating the need for mobility databases. Further chapters in this part are devoted to a formal model for representing mobility data, an introduction to mobility data visualization, and the topic of querying mobility databases. Part II Advanced Topics covers topics such as query processing…mehr

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Produktbeschreibung
This textbook covers the key topics in mobility data analysis, including all steps of the data science pipeline illustrated with real-world examples.

The book is composed of three parts. Part I Fundamental Concepts provides the background for this book by introducing spatial and temporal databases and motivating the need for mobility databases. Further chapters in this part are devoted to a formal model for representing mobility data, an introduction to mobility data visualization, and the topic of querying mobility databases. Part II Advanced Topics covers topics such as query processing and indexing, illustrated with PostgreSQL, introduces mobility data warehouses using synthetic data, and concludes with distributed mobility databases. Part III Mobility Analytics covers important topics like mobility data cleaning, including the identification of erroneous data, and mobility analysis using foundational algorithms for spatial and mobility data. It also includesan urban mobility use case that illustrates the concepts presented throughout the book in a real application setting.

This textbook is written for undergraduate and graduate computer science courses on mobility data science. As such, it follows a pedagogical style to make the work of the instructor easier and to help students to understand the concepts being delivered, complementing the presentation with exercises and a companion GitHub repository. SQL is used as a high-level language for analytics, allowing students to write complex data science code, while abstracting away implementation details. Researchers and practitioners who are interested in an introduction to the area of mobility data science will also find the book a useful reference.
Autorenporträt
Mahmoud Sakr, MD, PhD, FACS, is a Professor of Surgery, Head and Neck Surgery Unit, Alexandria University, Egypt. He graduated in 1981 and completed his Master Degree (MS) and doctorate degree (PhD) in Surgery at the Faculty of Medicine, Alexandria University, Egypt. He had his fellowship in Surgery and Organ Transplantation at the University of Pittsburgh School of Medicine, Pennsylvania, USA. He is a fellow of the International College of Surgeons (ICS) and American College of Surgeons (ACS). He published 44 medical books as well as over 120 articles in esteemed journals and has been serving as an editorial board member of repute in many international journals.