Towards a knowledge model for multi-view KDD process

Author

Zemmouri, EL Moukhtar ; Behja, Hicham ; Marzak, Abdelaziz

Author_Institution

CCSP Lab., Ecole Nat. Super. d´´Arts et Metiers, Meknes, Morocco

fYear

2011

fDate

18-20 Dec. 2011

Firstpage

18

Lastpage

22

Abstract

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.

Keywords

data mining; database management systems; CRISP-DM standard; domain knowledge; interactive process; iterative process; knowledge discovery in databases; multiview KDD process; reusability enhancement; Analytical models; Context; Data mining; Databases; Knowledge engineering; Object oriented modeling; Unified modeling language; CRISP-DM; Domain knowledge; KDD process; OWL; Ontology; viewpoint;

fLanguage

English

Publisher

ieee

Conference_Titel

Next Generation Networks and Services (NGNS), 2011 3rd International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-0138-1

Type

conf

DOI

10.1109/NGNS.2011.6142543

Filename

6142543