loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Omar al-Ketbi and Marc Conrad

Affiliation: University of Bedfordshire, United Kingdom

Keyword(s): Data Mining, Decision Support Systems, System Integration, Abu Dhabi Police.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Group Decision Support Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Operational Research ; Pattern Recognition ; Physiological Computing Systems ; Project Management ; Sensor Networks ; Signal Processing ; Soft Computing ; Strategic Decision Support Systems ; Theory and Methods

Abstract: A data mining (DM) integrated decision support system (DSS) is suggested to improve the performance of the DSS implemented in a police organisation. A prototype of the suggested system is provided. The paper provides an insight into DM-DSS integrated systems in the literature, and uses the results of the investigation as a basis for a suggested system tailored against the particularity of Abu Dhabi (AD) Police Organisation in the United Arab Emirates. It is believed that in general DM processes are demanding in terms of time and other resources. Hence, it is suggested that the process be reduced in order to accommodate to the particularity of AD Police in terms of size and current system performance. The system is perceived on this basis.

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 3.133.144.147

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:
al-Ketbi, O. and Conrad, M. (2013). Integration of Decision Support Systems and Data Mining for Improved Decision Making. In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, pages 482-489. DOI: 10.5220/0004450604820489

@conference{iceis13,
author={Omar al{-}Ketbi. and Marc Conrad.},
title={Integration of Decision Support Systems and Data Mining for Improved Decision Making},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2013},
pages={482-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004450604820489},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Integration of Decision Support Systems and Data Mining for Improved Decision Making
SN - 978-989-8565-59-4
IS - 2184-4992
AU - al-Ketbi, O.
AU - Conrad, M.
PY - 2013
SP - 482
EP - 489
DO - 10.5220/0004450604820489
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