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Authors: Anna Rozeva 1 ; Boryana Deliyska 1 and Roumiana Tsankova 2

Affiliations: 1 University of Forestry, Bulgaria ; 2 Technical University, Bulgaria

Keyword(s): Business Analysis, Knowledge Discovery in Databases, Association Rules, Domain Ontology, Semantic Model, Ontology Reasoning.

Abstract: Deriving models for intelligent business analysis by generation of knowledge through data mining techniques has proved to be highly theoretically researched and practically implemented topic in the field of decision support and business intelligence systems in the last decade. A general data mining task concerns discovery and description of relationships among items recorded in business transactions. The model of association rules is the one most implemented for revealing such relationships. In order to increase the decision support value of the output associative models the necessity for capturing and involving semantics from the domain of discourse has emerged. Ontologies represent the tool for structuring the concepts and their relationships as knowledge for a subject area that was established with the growth of the Semantic Web. The paper is intended to design a framework for implementing ontologies in the association rule analysis model that provides for involving semantics in t he extracted rules by means of initial verification and optimization of the mining task by database scheme ontology and exploration of rules’ interestingness by ontology reasoning process. (More)

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Paper citation in several formats:
Rozeva, A.; Deliyska, B. and Tsankova, R. (2012). Semantic Business Analysis ModelConsidering Association Rules Mining. In Proceedings of the Second International Symposium on Business Modeling and Software Design - BMSD; ISBN 978-989-8565-26-6, SciTePress, pages 122-127. DOI: 10.5220/0004461801220127

@conference{bmsd12,
author={Anna Rozeva. and Boryana Deliyska. and Roumiana Tsankova.},
title={Semantic Business Analysis ModelConsidering Association Rules Mining},
booktitle={Proceedings of the Second International Symposium on Business Modeling and Software Design - BMSD},
year={2012},
pages={122-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004461801220127},
isbn={978-989-8565-26-6},
}

TY - CONF

JO - Proceedings of the Second International Symposium on Business Modeling and Software Design - BMSD
TI - Semantic Business Analysis ModelConsidering Association Rules Mining
SN - 978-989-8565-26-6
AU - Rozeva, A.
AU - Deliyska, B.
AU - Tsankova, R.
PY - 2012
SP - 122
EP - 127
DO - 10.5220/0004461801220127
PB - SciTePress

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