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This article discusses the problem of knowledge capitalization that require the operations of evaluation. There have been many approaches to develop specialized procedures and techniques, aimed at assuring the highest level of knowledge quality. The method proposed in this paper is based on a corporate memory building. This memory can capitalize just knowledge evaluated using a different criteria...
A data mining project is usually held by several actors (domain experts, data analysts, KDD experts …), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a...
Knowledge is one of the organization's most important values that influencing its competitiveness. One way to capture organization's knowledge and make it available to all their members is through the use of knowledge management systems. A critical process in the whole knowledge management life cycle is validation. A Knowledge Base (KB) incorporated into such systems has to be verified or (more generally)...
In the present work, we propose a new model of radical descriptors in Arabic Text Mining. This model will be based on the addition of lexical information contained in the morphological pattern of the Arabic word. We developed a statistical model by Hidden Markov Chain to disambiguate the morphological analysis of corpora, and we propose a new method to measure the relationship between descriptors...
The problem of testing linear AR(p 1 ) against diagonal bilinear BL(p 1 , 0; p 2 , p 2 ) dependence is considered. Emphasis is put on local asymptotic optimality and the nonspecification of innovation densities. The tests we are deriving are asymptotically valid under a large class of densities, and locally asymptotically most stringent at some selected density f...
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