Normal view MARC view ISBD view

Handbook of mobility data mining. Volume One, Data preprocessing and visualization / edited by Haoran Zhang.

Contributor(s): Zhang, Haoran (College teacher) [editor.]Material type: Text

TextPublisher: Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2023]Copyright date: �2023Description: 1 online resource : illustrations (some color)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 0443184291; 9780443184291Other title: Data preprocessing and visualizationSubject(s): Big data | Data miningAdditional physical formats: Print version:: Handbook of mobility data mining. Volume 1, Data preprocessing and visualization.DDC classification: 005.7 LOC classification: QA76.9.B45 | H36 2023Online resources: ScienceDirect

Contents:

Chapter One - An overview of urban data variety and respective value to urban computing -- Chapter Two - Quality assessment for big mobility data -- Chapter Three - Noise filter method for mobile trajectory data -- Chapter Four - Modifiable areal unit problem in grided population density map -- Chapter Five - Few-shot count estimation of mobility dynamics by scaling GPS -- Chapter Six - Trip segmentation and mode detection for human mobility data -- Chapter Seven - Benchmark of travel mode detection with smartphone GPS trajectories -- Chapter Nine - Map-matching for low accuracy trajectory data -- Chapter Ten - Social information labeling for individual mobile phone user -- Chapter eleven - Web-based spatio-temporal data visualization technology for urban digital twin.

Summary: "Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization 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 contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations."--Provided by Publisher.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 4 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
			Available

Total holds: 0

Includes bibliographical references and index.

"Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization 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 contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations."--Provided by Publisher.

Online resource; title from PDF title page (ScienceDirect platform, viewed June 1, 2023).

There are no comments on this title.

to post a comment.