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Journal of Algorithms
Article . 1999 . Peer-reviewed
License: CC BY NC ND
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Data Structures for Mobile Data

Data structures for mobile data
Authors: John Hershberger; Leonidas J. Guibas; Julien Basch;

Data Structures for Mobile Data

Abstract

The authors present a set of novel data structures for the efficient maintenance of various continuous and discrete attributes of mobile data. A Kinetic Data Structure (KDS) maintains an attribute of interest in a system of geometric objects undergoing continuous motion. The authors develop a concentual framework for kinetic data structures, and propose a number of criteria for the quality of such structures. They describe a number of fundamental techniques for their design, and illustrate these general concepts by presenting kinetic data structures for maintaining the convex hull and the closest pair of moving points in the plane; these structures behave well according to the proposed quality criteria for KDSs. \(\copyright\) Academic Press.

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Keywords

Data structures, kinetic data structure

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
134
Top 10%
Top 1%
Top 10%
hybrid