Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction

The Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction provides a comprehensive understanding of mobile big data mining (MDM) with a bottom-up approach, covering preprocessing, visualization, behavior simulation, and assessment. It introduces advanced AI methods and upper-level applications and discusses designing MDM platforms for the evolving mobility environment.

Format: Paperback / softback
Length: 210 pages
Publication date: 01 January 2023
Publisher: Elsevier - Health Sciences Division

The Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction is a comprehensive guide that delves into the fundamental technologies, advanced AI methods, and upper-level applications of mobile big data mining (MDM). This book aims to provide readers with a comprehensive understanding of MDM from a bottom-up approach, enabling them to grasp the intricacies of this field.

In the first chapter, the book introduces the essential technologies involved in mobile big data mining, including data preprocessing, visualization of urban mobility, simulation and prediction of human travel behavior, and assessment of urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. It also discusses how to design MDM platforms that can adapt to the evolving mobility environment and new types of transportation and users.

The subsequent chapters cover crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more. Each chapter is filled with detailed explanations, examples, and case studies to illustrate the practical applications of MDM in real-world scenarios.

The book concludes with a chapter on graph-based mobility data analytics, which explores the use of graph theory and network analysis to extract insights and make predictions from mobility data. This chapter provides a valuable tool for researchers, engineers, operators, company administrators, and policymakers in related fields who seek to gain a deeper understanding of current technologies, infra-knowledge structure, and limitations.

Overall, The Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction is a valuable resource for anyone interested in exploring the world of mobile big data mining. With its comprehensive coverage of MDM technologies, advanced AI methods, and upper-level applications, this book offers a solid foundation for researchers, engineers, and practitioners looking to advance their knowledge and expertise in this field.

Weight: 450g
Dimension: 229 x 152 (mm)
ISBN-13: 9780443184246