Handbook Of Mobility Data Mining, Volume 2: Mobility Analytics And Predicti...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Handbook Of Mobility Data Mining, Volume 2: Mobility Analytics And PredictionISBN13:9780443184246ISBN10:0443184240Author:Zhang, Haoran (Editor)Description:The Handbook Of Mobility Data Mining: Mobility Analytics And Prediction: Volume 2: 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 It 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 Further, It Focuses On Introducing How To Design Mdm Platforms That Adapt To The Evolving Mobility Environment, New Types Of Transportation, And Users Based On An Integrated Solution That Utilizes Sensing And Communication Capabilities To Tackle The Significant Challenges That The Mdm Field Faces Volume 2: Mobility Analytics And Prediction Provides A Basis For How To Simulate And Predict Mobility Data After An Introductory Theory Chapter, It Then Covers Crucial Topics Such As Long-Term Mobility Pattern Analytics, Mobility Data Generators, User Information Inference, Grid-Based Population Density Prediction, And More It 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 Binding:Paperback, PaperbackPublisher:ElsevierPublication Date:2023-01-01Weight:0 lbsDimensions:Number of Pages:Language:English

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Location: USA

End Time: 2024-12-03T18:23:43.000Z

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