Access structures for fuzzy spatial queries

A. Sözer, A. Yazici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spatial data are complex and have spatial components and uncertain properties. It is important to develop effective spatial and aspatial indexing techniques to facilitate spatial and/or aspatial querying for databases that deal with spatial data In this study we discuss a number of spatial index structures, such as Multi-level grid file (MLGF), R-tree, and R∗-tree, for fuzzy spatial and/or aspatial queries.

Original languageEnglish
Title of host publication2002 Annual Meeting of the North American Fuzzy Information Processing Society, Proceedings - NAFIPS-FLINT 2002
EditorsOlfa Nasraoui, Jim Keller
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages383-388
Number of pages6
ISBN (Electronic)0780374614
DOIs
Publication statusPublished - 2002
EventAnnual Meeting of the North American Fuzzy Information Processing Society, NAFIPS-FLINT 2002 - New Orleans, United States
Duration: Jun 27 2002Jun 29 2002

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Volume2002-January

Conference

ConferenceAnnual Meeting of the North American Fuzzy Information Processing Society, NAFIPS-FLINT 2002
Country/TerritoryUnited States
CityNew Orleans
Period6/27/026/29/02

Keywords

  • Computational Intelligence Society
  • Data engineering
  • Data models
  • Database languages
  • Database systems
  • Indexing
  • Multimedia databases
  • Spatial databases
  • Spatial indexes
  • Very large scale integration

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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