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Knowledge Mapping Evolution Guided by Data Mining

by Brahami Menaouer, Atmani Baghdad, Nada Matta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 1
Year of Publication: 2013
Authors: Brahami Menaouer, Atmani Baghdad, Nada Matta
10.5120/12325-8554

Brahami Menaouer, Atmani Baghdad, Nada Matta . Knowledge Mapping Evolution Guided by Data Mining. International Journal of Computer Applications. 71, 1 ( June 2013), 32-39. DOI=10.5120/12325-8554

@article{ 10.5120/12325-8554,
author = { Brahami Menaouer, Atmani Baghdad, Nada Matta },
title = { Knowledge Mapping Evolution Guided by Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 1 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number1/12325-8554/ },
doi = { 10.5120/12325-8554 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:34:22.811974+05:30
%A Brahami Menaouer
%A Atmani Baghdad
%A Nada Matta
%T Knowledge Mapping Evolution Guided by Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 1
%P 32-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Preserve knowledge, retain know, these are the objectives of a scalable company. The knowledge mapping is graphical techniques which allows preserve and visualize the strategic heritage of the acquired know-how during the years. We use Data mining techniques to exploit the different sources of data and to improve the process of acquiring this knowledge. In this paper, we present a new knowledge mapping approach based on the one hand, on the Boolean modeling of mapping domains knowledge and on the other hand, the use of different data sources by data mining technique to improve the process of acquiring knowledge explicit. To evaluate our approach, we have initiated a process of mapping guided by machine learning which operates in two stages: a data mining and automatic mapping. Data mining is to run initially from an induction Boolean case studies (explicit knowledge). The mapping rules are then used to automatically improve the Boolean model of the knowledge mapping.

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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge management Knowledge mapping Boolean modeling Data mining evolution of maps

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