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Compression of Mobility Data
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Compression of Mobility Data (Hardback)

£70.50
Pre-order for despatch on publication.

Synopsis

This book discusses the different facets of the problem of

compressing data pertaining to whereabouts-in-time information for mobile

entities. It gives a comprehensive overview of the state of the art in terms of

existing techniques as well as the impact of various contexts associated with

modeling and representing the motion.



The first part of this book presents a global overview of

the problem of data compression in general and throughout the history,

illustrates the different categorizations of compression approaches, and

positions the rest of the book in these settings. It discusses separately the

facets of compressing spatial data (polylines, cartography, and beyond) and

temporal data (temporal databases, time series, streaming data).



The second part of this book explores in detail the various

issues arising when compression is attempted in the realm of moving objects

management, both for point-objects and evolving shapes. It starts with

discussing the basic settings and the related solutions and fundamental techniques

common to various application and analyzes the benefits and trade-offs

associated with mobile data reduction in both online and (near) real-time

settings. It also covers the impact of the different distance functions used to

capture the quality of the compression process. Subsequently, it incorporates

the role of different contexts such as energy issues when tracking in wireless

sensor networks, known restrictions of motion (e.g., road networks), etc.



























Other key topics range from the role of data compression in

clustering mobile data to the impact of various semantics-based features (such

as symbolic trajectories and warehousing of spatio-temporal data). Compression of Mobility Data concludes

with a discussion of the possible future research directions associated with

different aspects of compressing spatio-temporal data.

Computing & ITComputer scienceScience & MathematicsGeographyGIS Geographical information systems & remote sensing Publisher: Springer International Publishing AG Publication Date: 12/11/2020 ISBN-13: 9783319274140  Details: Type: Hardback Format: Books
Availability: Pre-order for despatch on publication. Pre-Order

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