Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases

Saved in:
Bibliographic Details
Published in:Data Science and Engineering
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1871740947784531970
collection WordPress RSS
FRELIP Feed Integration
container_title Data Science and Engineering
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:106843
institution FRELIP
journal_source_facet Data Science and Engineering
last_indexed 2026-07-26T02:01:08.348Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_auth Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_full Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_fullStr Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_full_unstemmed Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_short Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases
title_sort mining sustained emerging spatio-temporal co-occurrence patterns from dynamic spatial databases
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s41019-026-00347-9