Handbook of Mobility Data Mining, Volume 2 : Mobility Analytics and Prediction Paperback / softback
Edited by Haoran (Assistant Professor, Center for Spatial Information Science, University of Tokyo, Tok Zhang
Paperback / softback
- Information
Description
Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach.
The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems.
The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users. This helpful guide provides a basis for how to simulate and predict mobility data.
After an introductory theory chapter, the book then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, Grid-based population density prediction, and more.
The book concludes with a chapter on graph-based mobility data analytics.
The information in this work is crucial for researchers, engineers, operators, company administrators, and policymakers in related fields, to comprehensively understand current technologies' infra-knowledge structure and limitations.
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:210 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:27/01/2023
- Category:
- ISBN:9780443184246
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:210 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:27/01/2023
- Category:
- ISBN:9780443184246