Towards a knowledge model for multi-view KDD process

Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process involving 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 with different viewpoints). Our objective is to...

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Bibliographic Details
Main Authors: Zemmouri, E. L. M., Behja, H., Marzak, A.
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Context
CRISP-DM
Data mining
Domain knowledge
KDD process
Knowledge engineering
Object oriented modeling
Ontology
OWL
Unified modeling language
viewpoint
Online Access:Request full text
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Summary:Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process involving 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 with different viewpoints). Our objective is to enhance both reusability of the process and coordination between experts. To do so, we propose a formalization of viewpoint in KDD based on CRISP-DM standard and taking into account the domain knowledge involved during a KDD process.
ISSN:2327-6525
2327-6533
DOI:10.1109/NGNS.2011.6142543