Handbook of mobility data mining. Volume Two, Mobility analytics and prediction /

"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 explain...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Zhang, Haoran (College teacher) (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2023]
Subjects:	Big data. Mobile communication systems. Données volumineuses. Radiocommunications mobiles. Big data Mobile communication systems Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter one - Multi-data-based travel behavior analysis and prediction
Chapter two - Mining individual significant places from historical trajectory data
Chapter Three - Mobility pattern clustering with big human mobility data
Chapter Four - Change detection of travel behavior: a case study of COVID-19
Chapter Five - User demographic characteristics inference based on big GPS trajectory data
Chapter Six - Generative model for human mobility
Chapter seven - Retrieval-based human trajectory generation
Chapter eight - Grid-based origin-destination matrix prediction: a deep learning method with vector graph transformation similarity loss function
Chapter Nine - MetaTraj: meta-learning for cross-scene cross-object trajectory prediction
Chapter Ten - Social-DPF: socially acceptable distribution prediction of futures.