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Nowadays, numerous Zakat Calculation Platforms (ZCP) are in continuous incremental progress due to the high demands on such Islamic platforms. The multitude of these ZCP platforms, although it has advantages, it also presents a number of disadvantages. Actually, over the past few years, we can see the enormous increase of the use of these platforms that presents a number of disadvantages viz; they...
The PWE (Partial Weight Enumerator) algorithm permits to obtain a partial weights enumerator for linear codes. This algorithm is based on the Multiple Impulse Method combined with a Monte Carlo Method. The main disadvantage of this algorithm is the height run time complexity when the set of selected codewords as sample is large. However, when this set is reduced it becomes not representative and the...
Zakat is one of the most fundamental obligations in Islamic religion. The obligation of Zakat is unanimously agreed upon all schools of jurisprudence. However, these schools hold distinctly different opinions on various subjects of Zakat such as the amount that constitutes nissab, the categories of wealth and the rate of Zakat that applies to each category. But, one of the Zakat issues is how to calculate...
Extraction of identifier terminology from a specific domain is an indispensable task in extracting information from text, In this work we propose a hybrid method of extracting complex terms from Arabic texts which combines between linguistic and statistical approach, which focuses on a linguistic and morph syntactic analysis of the Arabic language deep to introduce an linguistic filtering algorithm...
This research illustrates the potential of Web Usage Mining on e-Learning domain. We use educational data mining techniques to analyze learners' behavior, to help in learning evaluation and to enhance the structure of a given course. We focus on the preprocessing task, which is considered as the most crucial phase in the whole process. Our objective is to develop a data preprocessing method applied...
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)...
Find relevant documents for a given query in search process information seems a challenge for all models and techniques embodied in an information retrieval system. We continue this challenge by proposing a new measure of similarity between two queries. This similarity measure is based on two aspects: the first is statistical based on the statistic X2 (method CHIR) and the second is semantic based...
The objective of this work is the conception and the realization of a recommendatory system, using concepts of the web usage mining and being inspired by approaches to information filtering. This system will propose to the Webmaster (or admin) from a platform for distance learning the best documents available on the web basis on the historical research done by learners. It is, actually a meta-search...
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...
The task of Knowledge Management (KM) is to capture explicit and tacit knowledge of an organization in order to facilitate the access, sharing, and reuse of that information. Knowledge capital is a strategic asset in the achievement of the objectives, a major element for the survival of the organization. In this article, we present the importance of having a collaborative environment for managing...
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...
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