loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hana Alouaoui ; Sami Yassine Turki and Sami Faiz

Affiliation: ENIT National Engineering School of Tunis and Tunis El Manar University, Tunisia

Keyword(s): Spatiotemporal database, Topological relationships, Spatiotemporal data mining, Data mining query language.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: This paper presents an approach for mining spatiotemporal association rules. The proposed method is based on the computation of neighborhood relationships between geographic objects during a time interval. This kind of information is extracted from spatiotemporal database by the means of special mining queries enriched by time management parameters. The resulting spatiotemporal predicates are then processed by classical data mining tools in order to generate spatiotemporal association rules.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.248.214

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Alouaoui, H.; Yassine Turki, S. and Faiz, S. (2011). QUERYING AND MINING SPATIOTEMPORAL ASSOCIATION RULES. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 394-397. DOI: 10.5220/0003636304020405

@conference{kdir11,
author={Hana Alouaoui. and Sami {Yassine Turki}. and Sami Faiz.},
title={QUERYING AND MINING SPATIOTEMPORAL ASSOCIATION RULES},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={394-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003636304020405},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - QUERYING AND MINING SPATIOTEMPORAL ASSOCIATION RULES
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Alouaoui, H.
AU - Yassine Turki, S.
AU - Faiz, S.
PY - 2011
SP - 394
EP - 397
DO - 10.5220/0003636304020405
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic