A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS

Alfredo Cuzzocrea

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Paper

A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS

Topics: Data Mining; Data Warehouses and OLAP

In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 281-289, 2011 , Beijing, China

Author: Alfredo Cuzzocrea

Affiliation: ICAR-CNR and University of Calabria, Italy

Keyword(s): Mining OLAP data cubes, UML, Complex knowledge discovery environments.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: In this paper, we propose theoretical assertions and practical instances of an innovative UML-extended approach for mining OLAP data cubes in complex knowledge discovery environments. This analytical contribution is further extended by means of a comprehensive set of case studies that clearly demonstrate the feasibility and the benefits of the proposed approach in the context of next generation Data-Warehousing/Data-Mining platforms.

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Paper citation in several formats:

Cuzzocrea, A. (2011). A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8425-53-9; ISSN 2184-4992, SciTePress, pages 281-289. DOI: 10.5220/0003512302810289

@conference{iceis11,
author={Alfredo Cuzzocrea.},
title={A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2011},
pages={281-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003512302810289},
isbn={978-989-8425-53-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A UML-EXTENDED APPROACH FOR MINING OLAP DATA CUBES IN COMPLEX KNOWLEDGE DISCOVERY ENVIRONMENTS
SN - 978-989-8425-53-9
IS - 2184-4992
AU - Cuzzocrea, A.
PY - 2011
SP - 281
EP - 289
DO - 10.5220/0003512302810289
PB - SciTePress