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.