Ontology-Based Knowledge Model for Multi-View KDD Process
Authors: 
EL Moukhtar Zemmouri, Hicham Behja, Abdelaziz Marzak, Brigitte TrousseAuthors Info & Claims
EL Moukhtar Zemmouri, Hicham Behja, Abdelaziz Marzak, Brigitte TrousseAuthors Info & ClaimsPages 21 - 33
Abstract
Knowledge Discovery in Databases KDD is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper the authors propose to support users of a multi-view analysis a KDD process held by several experts who analyze the same data with different viewpoints. Their objective is to enhance both the reusability of the process and coordination between users. To do so, they propose a formalization of viewpoint in KDD and a Knowledge Model that structures domain knowledge involved in a multi-view analysis. The authors' 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.
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Published: 01 July 2012
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