Skip to main navigation Skip to search Skip to main content

Rough sets in spatio-temporal data mining

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In this paper I define spatio-temporal regions as pairs consisting of a spatial and a temporal component and I define topological relations between them. Using the notion of rough sets I define approximations of spatio-temporal regions and relations between those approximations. Based on relations between approximated spatio-temporal regions configurations of spatio-temporal objects can be characterized even if only approximate descriptions of the objects forming them are available.

Original languageEnglish
Title of host publicationTemporal, Spatial and Spatio-Temporal Data Mining - 1st International Workshop, TSDM 2000, Revised Papers
EditorsJohn F. Roddick, Kathleen Hornsby
PublisherSpringer Verlag
Pages89-104
Number of pages16
ISBN (Print)9783540417736
DOIs
StatePublished - 2001
Event1st International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, TSDM 2000 - Lyon, France
Duration: Sep 12 2000Sep 12 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2007
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, TSDM 2000
Country/TerritoryFrance
CityLyon
Period09/12/0009/12/00

Fingerprint

Dive into the research topics of 'Rough sets in spatio-temporal data mining'. Together they form a unique fingerprint.

Cite this