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Authors: Fernando Berzal ; Juan-Carlos Cubero and Aída Jiménez

Affiliation: University of Granada, Spain

ISBN: 978-989-8111-53-1

Keyword(s): Aspect-oriented programming, performance monitoring, data mining techniques.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: This paper illustrates how aspect-oriented programming techniques support the I/O performance evaluation and monitoring of alternative data mining techniques. Without having to modify the source code of the system under analysis, aspects provide an unintrusive mechanism to perform this kind of analysis, letting us probe a system implementation so that we can identify potential bottlenecks.

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Paper citation in several formats:
Berzal F.; Cubero J.; Jiménez A. and (2008). FINE-GRAINED PERFORMANCE EVALUATION AND MONITORING USING ASPECTS - A Case Study on the Development of Data Mining Techniques.In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-53-1, pages 259-262. DOI: 10.5220/0001874902590262

@conference{icsoft08,
author={Fernando Berzal and Juan{-}Carlos Cubero and Aída Jiménez},
title={FINE-GRAINED PERFORMANCE EVALUATION AND MONITORING USING ASPECTS - A Case Study on the Development of Data Mining Techniques},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2008},
pages={259-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001874902590262},
isbn={978-989-8111-53-1},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - FINE-GRAINED PERFORMANCE EVALUATION AND MONITORING USING ASPECTS - A Case Study on the Development of Data Mining Techniques
SN - 978-989-8111-53-1
AU - Berzal, F.
AU - Cubero, J.
AU - Jiménez, A.
PY - 2008
SP - 259
EP - 262
DO - 10.5220/0001874902590262

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