Title :
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
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;
Conference_Titel :
Next Generation Networks and Services (NGNS), 2011 3rd International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-0138-1
DOI :
10.1109/NGNS.2011.6142543
