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Authors: Fadila Bentayeb and Rym Khemiri

Affiliation: University of Lyon and Lumière Lyon 2, France

Keyword(s): Analysis Level, Constrained K-means Clustering, OLAP, Personalization, PRoCK, Semantic Dimension Hierarchy, User Constraints.

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

Abstract: The objective of this paper is to provide a personalized on-line aggregate operator, namely PRoCK (Personalized Rollup operator with Constrained K-means), based on data mining techniques. The use of data mining techniques, and more precisely constrained K-means clustering method, helps to discover new grouping sets with respect to users requirements. In the context of data warehouses, PRoCK allows to adapt dimension hierarchies to the user constraints. Indeed, applied on a given dimension hierarchy instances, constrained k-means clustering method gives a new natural classification. The obtained clustering results constitute a new hierarchy level semantically richer, namely personalized level on which user may elaborate more sophisticated OLAP analysis. PRoCK is integrated inside Oracle RDBMS (Relational DataBase Management System) and we have carried out some experimentation which validated the relevance of our operator.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bentayeb, F. and Khemiri, R. (2013). Adapting OLAP Analysis to User’s Constraints through Semantic Hierarchies. 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 193-200. DOI: 10.5220/0004444901930200

@conference{iceis13,
author={Fadila Bentayeb. and Rym Khemiri.},
title={Adapting OLAP Analysis to User’s Constraints through Semantic Hierarchies},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2013},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004444901930200},
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 - Adapting OLAP Analysis to User’s Constraints through Semantic Hierarchies
SN - 978-989-8565-59-4
IS - 2184-4992
AU - Bentayeb, F.
AU - Khemiri, R.
PY - 2013
SP - 193
EP - 200
DO - 10.5220/0004444901930200
PB - SciTePress