Full Text Available

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

Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

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_ 1867301674881646594
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:78133
institution FRELIP
journal_source_facet Data Science and Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
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 Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_auth Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_full Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_fullStr Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_full_unstemmed Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_short Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances
title_sort dynamic region co-location pattern discovery: an efficient approach based on generalized maximal row instances
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s41019-025-00323-9