Intégration des connaissances de domaine dans un processus d'ECD multi-vues

International audienceLe processus d'Extraction de Connaissances à partir de Données (ECD) est un processus itératif et interactif complexe faisant appel à plusieurs types de connaissances et de savoir faire. Dans ce papier nous proposons d'appréhender la complexité d'un processus d'ECD multi-vues, c.-à-d. un processus mené par plusieurs experts avec différents points de vue. Notre objectif est d'assurer une meilleur coordination et compréhension entre les différents analystes d'une analyse multi-vues. Ainsi, nous proposons une modélisation de la notion de point de vue en ECD en se basant sur le standard CRISP-DM, et en tenant compte des connaissances expertes de domaine mises en œuvre lors d'une analyse d'ECD

Ontology-Based Knowledge Model for Multi-View KDD Process

International audienceKnowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints). Our objective is to enhance both the reusability of the process and coordination between users. To do so, we propose a formalization of viewpoint in KDD and a Knowledge Model that structures domain knowledge involved in a multi-view analysis. Our formalization, using OWL ontologies, of viewpoint notion is based on CRISP-DM standard through the identification of a set of generic criteria that characterize a viewpoint in KDD

Goal-Driven Approach to Model Interaction between Viewpoints of a Multi-View KDD process

International audienceA data mining project is usually held by several actors (domain experts, data analysts, KDD experts ...), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multiview KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step of KDD process. Then, based on this goal model, we define a set of relations between viewpoints of a multi-view analysis; namely equivalence, inclusion, conflict and requirement