XRM: AN XML-BASED LANGUAGE FOR RULE MINING SYSTEMS

B. Bouchou, A. Cheriat, M. Halfeld Ferrari Alves, T. Jen, D. Laurent

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.

References

  1. Bouchou, B., Cheriat, A., Halfeld Ferrari Alves, M., Jen, T., and Laurent, D. (2004). An XML approach for rule mining systems. Technical Report (To appear), LI, Université de Tours.
  2. Bouchou, B., Duarte, D., Halfeld Ferrari Alves, M., and Laurent, D. (2003). Extending tree automata to model XML validation under element and attribute constraints. In ICEIS.
  3. Bouchou, B. and Halfeld Ferrari Alves, M. (2003). Updates and incremental validation of XML documents. In DBPL. LNCS 2921, Springer Verlag.
  4. Buneman, P., Davidson, S., Fan, W., Hara, C., and Tan, W. C. (2001). Keys for XML. In World Wide Web, pages 201-210.
  5. Data Mining Group (2003). PMML. Technical report, http://www.dmg.org/pmml-v2-0.htm.
  6. Dehaspe, L. and Toivenen, H. (1999). Discovery of frequent datalog patterns. Data mining and knowledge discovery. Kluwer Academic Publishers, 3:7-36.
  7. Diop, C., Giacometti, A., Laurent, D., and Spyratos, N. (2002). Composition of mining contexts for ef cient extraction of association rules. In EDBT. LNCS 2287, Springer Verlag.
  8. Dzeroski, S. and Lavrac, N., editors (2001). Relational Data Mining, chapter 6, 9. Springer-Verlag.
  9. Imielinski, T. and Mannila., H. (1996). A database perspective on knowledge discovery. Communication of the ACM, 39:58-64.
  10. Meo, R. and Psaila, G. (2003). An XML-Based de nition of a database for knowledge discovery. Technical Report RT74-2003-04, Dipartimento di Informatica, Universit di Torino.
  11. W3C (2001). XML Schema Part 1: Structures. Technical report, http://www.w3.org/TR/xmlschema-1/.
  12. Wettschereck, D. and Müller, S. (2001). Exchanging data mining models with the predictive modelling markup language. In Proc. of the ECML/PKDD-01 Workshop on Integration Aspects of Data Mining, Decision Support and Meta-Learning, pages 55-66.
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Paper Citation


in Harvard Style

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, pages 441-446. DOI: 10.5220/0002614504410446


in Bibtex Style

@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},
}


in EndNote Style

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
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