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Authors: B. Bouchou 1 ; A. Cheriat 1 ; M. Halfeld Ferrari Alves 1 ; T. Jen 1 and D. Laurent 2

Affiliations: 1 Université François Rabelais Blois-Tours-Chinon, France ; 2 Université de Cergy-Pontoise, France

Keyword(s): XML, XML Schema, association rule, data mining tools, logic formula.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Web Databases

Abstract: We present XRM, an XML-based language capable of promoting the collaboration among data mining systems. XRM is a general framework to express any system results and/or data as logic formulas. In this way, XRM offers flexibility to represent data, constraints and patterns, and allows mining systems to present their results in an exchangeable format. In this work, we concentrate on the use of XRM to represent different forms of association rules. XRM is built on XML Schema.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bouchou, B.; Cheriat, A.; Halfeld Ferrari Alves, M.; Jen, T. and Laurent, D. (2004). XRM: AN XML-BASED LANGUAGE FOR RULE MINING SYSTEMS. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 441-446. DOI: 10.5220/0002614504410446

@conference{iceis04,
author={B. Bouchou. and A. Cheriat. and M. {Halfeld Ferrari Alves}. and T. Jen. and D. Laurent.},
title={XRM: AN XML-BASED LANGUAGE FOR RULE MINING SYSTEMS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2004},
pages={441-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002614504410446},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - XRM: AN XML-BASED LANGUAGE FOR RULE MINING SYSTEMS
SN - 972-8865-00-7
IS - 2184-4992
AU - Bouchou, B.
AU - Cheriat, A.
AU - Halfeld Ferrari Alves, M.
AU - Jen, T.
AU - Laurent, D.
PY - 2004
SP - 441
EP - 446
DO - 10.5220/0002614504410446
PB - SciTePress