Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework

Alfredo Cuzzocrea; Alfredo Cuzzocrea; Mojtaba Hajian

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Paper

Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework

Topics: Big Data, Data Science and Analytics; Data Mining and Knowledge Discovery

In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 351-356, 2025 , Porto, Portugal

Authors: Alfredo Cuzzocrea ^{1

;

2} and Mojtaba Hajian ¹

Affiliations: ¹ iDEA Lab, University of Calabria, Rende, Italy ; ² Department of Computer Science, University of Paris City, Paris, France

Keyword(s): Big Data Analytics, Multidimensional Big Data Analytics, Integration of OLAP Analysis and Classification.

Abstract: Focusing on the emerging big data analytics scenario, this paper introduces ClassCube, an innovative methodology that combines OLAP analysis and classification algorithms for improving effectiveness, expressive power and accuracy of the main classification task over big datasets shaped in the form of big OLAP data cubes. The key idea of ClassCube relies on dimensionality reduction tools, which are deeply investigated in this paper.

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Paper citation in several formats:

Cuzzocrea, A. and Hajian, M. (2025). Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8; ISSN 2184-4992, SciTePress, pages 351-356. DOI: 10.5220/0013448200003929

@conference{iceis25,
author={Alfredo Cuzzocrea and Mojtaba Hajian},
title={Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013448200003929},
isbn={978-989-758-749-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Towards Big OLAP Data Cube Classification Methodologies: The ClassCube Framework
SN - 978-989-758-749-8
IS - 2184-4992
AU - Cuzzocrea, A.
AU - Hajian, M.
PY - 2025
SP - 351
EP - 356
DO - 10.5220/0013448200003929
PB - SciTePress