DocumentCode :
3277640
Title :
Viewpoint-based annotations for Knowledge Discovery in Databases
Author :
Behja, Hicham ; Zemmouri, El-Moukhtar ; Marzak, Abdelaziz
Author_Institution :
Lab. CCSP, Ecole Nat. Super. d´´Arts et Metiers, Meknes, Morocco
fYear :
2010
fDate :
3-5 Oct. 2010
Firstpage :
320
Lastpage :
323
Abstract :
In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst´s perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of the past analysis in terms of viewpoints. We also propose a viewpoint-based conceptual model for KDD process that integrates both the analyzed and the analyst domain knowledge.
Keywords :
data mining; meta data; ontologies (artificial intelligence); analyst domain knowledge; conceptual model; database process; multiview knowledge discovery; process adaptability; process reusability; viewpoint notion; Analytical models; Cognition; Context; Data mining; Databases; IP networks; Ontologies; KDD; annotations; metadata; ontology; viewpoint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location :
Algiers
Print_ISBN :
978-1-4244-8608-3
Type :
conf
DOI :
10.1109/ICMWI.2010.5647881
Filename :
5647881
Link To Document :
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