This paper presents the KEOPS data mining methodology centered on domain knowledge integration. KEOPS is a CRISP-DM compliant methodology which integrates a knowledge base and an ontology. In this paper, we focus first on the pre-processing steps of …
This paper deals with knowledge integration in a data mining process. We suggest to model domain knowledge during business understanding and data understanding steps in order to build an ontology driven information system (ODIS). We present the KEOPS …
L'extraction automatique de connaissances à partir des données peut être considérée comme la découverte d'informations enfouies dans de très grands volumes de données. Les approches Actuelles, pour évaluer la pertinence des informations extraites, se …
In this paper, we present the new ontology-based methodology ExCIS (Extraction using a Conceptual Information System) for integrating expert prior knowledge in a data mining process. This methodology describes guidelines for a data mining process …