Elsevier - Health Sciences Division
Elsevier - Health Sciences Division - Handbook Of Mobility Data Mining Volume 2 Mobility Analytics And Prediction - Paperback
Elsevier - Health Sciences Division - Handbook Of Mobility Data Mining Volume 2 Mobility Analytics And Prediction - Paperback
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Binding: Paperback
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.
Title: Handbook Of Mobility Data Mining Volume 2 Mobility Analytics And Prediction
Brand: Elsevier - Health Sciences Division
Barcode: 9780443184246
Pages: 210 Pages
Publication Date: 1/27/2023
Category: Transport: General Interest
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.
Title: Handbook Of Mobility Data Mining Volume 2 Mobility Analytics And Prediction
Brand: Elsevier - Health Sciences Division
Barcode: 9780443184246
Pages: 210 Pages
Publication Date: 1/27/2023
Category: Transport: General Interest
