Title :
Ontology Model for Multi-relational Data Mining Application
Author :
Bortoleto, Silvio ; Ebecken, Nelson F F
Author_Institution :
Positivo Univ.
Abstract :
Usually data mining applications present diverse models to get the waited specific results. However the same don´t include any ontology to represent and better assist the understanding of the concepts of meta-model, sub-model and relationships that implicitly exist in the models. Relational models of mining are widely used and multi-relational models recently start to become important. This article focuses the use of multi-relational data mining and shows a case study that considers the ontology representation and describes the processes to create a new perspective of this methodology utilization.
Keywords :
data mining; ontologies (artificial intelligence); diverse models; meta-model concept; multi-relational data mining application; ontology model; ontology representation; sub-model concept; Cities and towns; Conferences; Data mining; Hospitals; Induction machines; Intelligent systems; Logic programming; OWL; Ontologies; Relational databases; data mining; models; ontology; sub-models;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.285