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Labelling maximization (F-max) is an unbiased metric for estimation of the quality of non-supervised classification (clustering) that promotes the clusters with a maximum value of feature F-measure. In this paper, we show that an adaptation of this metric within the supervised classification allows to perform a selection of features and to calculate for each of them a function of contrast. The method...
We live in age of knowledge and huge information technology, which lead to an ongoing debate about the role that information technology can play for knowledge management. On the one hand, information technology is used in organizations, and thus qualifies as a natural medium for the flow of knowledge to achieve their goals. At the other end of the spectrum, leading knowledge management theorists have...
This paper proposes a method for segmentation of brain MRI medical images based on the type of knowledge provided preconceptions as Anatomical Atlas. Our approach proceeds by registration of an atlas on a patient image picture of seeking repeatedly to maximize the correspondence between the features of Atlas model and segmented image. The procedure of our approach is essentially divided into two steps:...
This article aims at evaluating the interest of the Wicri network, a network of semantic wikis, both as a reservoir of curation rules allowing to enrich corpora metadata and as a tool for parameterizing and supporting of instructions for the creation of corpora exploration servers. Starting, from the analysis of a bibliographic corpus extracted from different documentary databases, the experiments...
Digital libraries on distance learning platforms are ways that allow learners to consult and enrich their knowledge on the content that are studied in their course. In this paper, we are interested in the semantic analysis of the content of the resources visited in the digital libraries (eBooks) by learners using domain ontology. The purpose of this analysis is to identify the domain concepts that...
Due to the urgent need for the integration of all countries into a new economy; the importance of knowledge and its effective role in advancing the development has accelerated. This is why such economy is known as the knowledge economy. This is what makes us say that we live the transformation from an industry-oriented economy to an knowledge-oriented economy and that the creation of wealth is no...
The human face is one of the easiest characteristic, which can be used in biometric security system to identify a user. Face recognition technology, is very popular and it is used more widely because it does not require any kind of physical contact between the users and the device. Camera scans the user face and match it to a database for verification. Furthermore, it is easy to install and does not...
The spread of disease is a dynamic and complex phenomenon. In the world, diseases are the effects of misery and poverty. To find how to understand epidemiological systems is essential for governments. So why, modeling is an excellent method because it simplifies the reality. Presently, models of differential equations like SIR and SEIR are the most used, but they are more difficult to apply at the...
Knowledge management systems, or KMS, have been widely adopted in businesses, and little research exists on the integration of these systems in the field of higher education. Knowledge management systems were developed to support and enhance the organizational processes in agreement with the strategy of the organization. Our objective is to shed light on the consequences of knowledge management systems...
Old document images often suffer from degradations that render their binarization a challenging task. In this paper, a new binarization method for degraded document images is presented. The method is based on active contours evolving according to intrinsic geometric measures of the document image; Niblack's thresholding is also used to control the active contour propagation. The validity of the proposed...
Heterogeneous social networks present a great challenge for link mining tasks and especially for link prediction. Recent work insists on the importance of information heterogeneity intelligent exploitation in order to achieve best results. That will be more possible only with the development of new techniques that may represent heterogeneous network in an effective way making it possible to simplify...
A novel region-based method for color scene images characterization is proposed. The method exploits the texture features present in grayscale images extracted by LBP. It superposes a set of ellipses which are generated by rotation and contraction and organized for covering the image, where each ellipse delimits a region of the LBP map. One LBP-histogram is calculated for each region. Finally, texture...
The purpose of this article is to do a literature review on orchestration activities of mobile learning that is used in the context of field trip scenarios or museum visit. Indeed, much work has been done in this area however; we do not find a general framework for the design and the implementation of these mobile learning activities. For this reason, in this article, we did a study on the different...
Algerian investment in ICT has increased dramatically. This commitment has led to a boom in the sector, especially during the last decade. Many administrations are now extensively using new technologies in the conduct of their business and their interactions with citizens. Nevertheless, we observe a slowdown in the growth momentum. Algeria, which before 2008, was regarded as a model country (in Africa)...
The use of web services in the field of e-learning has increased, however, in view of the significant number of these services; proper selection is needed to improve their effectiveness and contribution. We propose in this paper a system of personalized web service recommendation during online training. The objective is to assist learners in their learning activities (individual exercises, group problem...
As traditional lecture styles have become nowadays less desirable and profitable, more and more demands are made on the part of both teachers and learners. One way of helping teachers fulfil their students' ‘growing’ needs in the age of globalisation is through the introduction of technology in the classroom. The present paper, therefore, intends to exploit the notion of cultural responsiveness in...
The web is increasingly moving towards structuring and to taking into consideration of semantics, particularly with XML and ontology. In addition, access to information requires the use of web tools for information retrieval (IR). Many methods from traditional IR were extended to structured documents. On the other hand, approaches have been proposed to regard specifically semantics in structured documents...
Through the study of the Bejaia's University students' marks in Computer Science, we want to show the interest of the Statistical Implicative Analysis (SIA). This method, developed by Régis Gras and his collaborators, is used to discover and analyze the most relevant implications between different studied modules. CHIC (Cohesive Hierarchical Implicative Classification) is a software implementing most...
Organizations structure their activities around business processes to achieve effectively their goals. Collaboration can intervene in these processes enabling better efficiency. We are interested in complex business processes characterized by the superposition of two information networks: first, a formal information network in which data and explicit knowledge flow. Then, an informal information network...
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