Sid Ahmed Rahal

Work place: University of Sciences and Technology-Mohamed Boudiaf (USTOMB)/ Computer Sciences and Mathematics Faculty/ Computer Sciences Department Oran, 31000, Algeria



Research Interests: Data Mining, Data Compression, Data Structures and Algorithms


Sid Ahmed Rahal is Doctor in computer science since 1989 in Pau University France.

He is memberships in professional activities are:

-Member of LSSD (Laboratory Signal, System and Data)

-Interest in DataBases, Data Mining, Agent and expert systems.

Author Articles
MAROR: Multi-Level Abstraction of Association Rule Using Ontology and Rule Schema

By Salim Khiat Hafida Belbachir Sid Ahmed Rahal

DOI:, Pub. Date: 8 Nov. 2014

Many large organizations have multiple databases distributed over different branches. Number of such organizations is increasing over time. Thus, it is necessary to study data mining on multiple databases. Most multi-databases mining (MDBM) algorithms for association rules typically represent input patterns at a single level of abstraction. However, in many applications of association rules – e.g., Industrial discovery, users often need to explore a data set at multiple levels of abstraction, and from different points of view. Each point of view corresponds to set of beliefs (and representational) commitments regarding the domain of interest. Using domain ontologies, we strengthen the integration of user knowledge in the mining and post-processing task. Furthermore, an interactive and iterative framework is designed to assist the user along the analyzing task at different levels. This paper formalizes the problem of association rules using ontologies in multi-database mining, describes an ontology-driven association rules algorithm to discoverer rules at multiple levels of abstraction and presents preliminary results in petroleum field to demonstrate the feasibility and applicability of this proposed approach.

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