Latest articles

Named Entity Extraction is a very new in Arabic Natural Language processing although it has reached maturity for some other languages such as English and French. In this paper, we describe the development and implementation of a person name named entity recognition system for the…

This paper is the first to collect and organize the many past theoretical results on the predicted welfare effects of privatization in mixed oligopolies. Our review of past models demonstrates that the most critical elements in predicting the influence of privatization in mixed oligopoly are…

Associative classification (AC) is a branch in data mining that utilises association rule discovery methods in classification problems.This paper idea aims to discuss and evaluate a modeling approach for student evolution. It is developed as a component of an adaptive achievement system. At the beginning…

This paper explores current models and practice regarding the dynamics of financial flows along global supply networks. Based on data collected from technology and service providers that focus on such issues along global supply networks, the paper identifies and discusses requirements for improved solutions to…

Mobile learning (m-Learning) is an ubiquitous learning activity supported by the appropriate mobile technology and pedagogical approach. Mobile learning research has experienced a significant growth in the last half a decade, following the increase in  innovative applications and the expansion of the contexts in which…

Fault diagnosis of industrial equipments becomes increasingly important. Developing a fast and reliable diagnosis system presents a challenge issue in many complex industrial systems. The major difficulties therein arise from the unavailability of experienced technicians for support. This study is oriented to explore a knowledge…

Since most existing online recruiting services are simple job boards serving to replace traditional newspaper ads, we study how to innovate such services. Specifically, we apply the lead user method as a driver of breakthrough innovations. We compare new service ideas emerging from interviews with…

In this paper we presents an algorithm for minimizing the investments for increase the capacity of a transportation network. A transportation network is a graph that simulates a real network like roads network of a country, pipes network for fluid transportation etc. In this paper…

A logistic network is a favorable environment for companies to collaborate together in order to improve the quality of a service or a product and to surmount some problems. In this paper, we present a logistic network conception which is based on multi-agents systems and…

Text classification is a supervised technique that uses labelled training data to learn the classification system and then automatically classifies the remaining text using the learned system. This paper investigates Naïve Bayesian algorithm based on Chi Square features selection method. The base of our comparisons…