Papers by Kholladi Mohamed-Khireddine
L'objectif, en plus de la production des données géomatiques, c'est l'aide à la décision. Les bas... more L'objectif, en plus de la production des données géomatiques, c'est l'aide à la décision. Les bases de données géographiques ont créé un niveau d'abstraction du monde réel, ce qui nous éloigne du reflet de la carte géographique. Bien que le grand sud algérien soit très vaste et riche, il reste sous exploité. C'est la raison pour laquelle, on s'est intéressé aux statistiques concernant la l'évolution de la répartition de la population de la wilaya d'Adrar ainsi que les critères influant sur elle. Pour que les responsables des projets de développement puissent intervenir dans l'estimation de l'espace urbain de la wilaya, ils doivent pouvoir travailler sur un système d'informatique géographique d'aide à la décision. Dans ce papier, nous allons présenter notre projet de réalisation de ce système d'information géographique « SIG » pour le suivi et la gestion des données urbaines de la wilaya d'Adrar via une base de données géographiques (spatiales). Il est basé en grande partie sur les cartes géographiques de la wilaya sur lesquelles porte l'étude, et la réalisation manuelle des cartes nécessitant beaucoup de temps et des capacités importantes de stockage. L'utilisateur doit pouvoir effectuer des analyses et des requêtes spatiales et enfin éditer des rapports rendant compte des situations de simulations effectuées.
Research of a new approach for the resolution of the problems of optimization for mobile phone operators
The industry of the mobile communications knew a prodigious development during the last decade. I... more The industry of the mobile communications knew a prodigious development during the last decade. It is developed beyond all the waits. So, at present, millions of subscribers take advantage of services offered by the cellular networks. Most use the GSM networks (Mobile Global System for Communications). At the same time, the techniques of radio communication take on henceforth a crucial importance for an increasing number of public utilities. It is necessary to be able to determine the technical characteristics and the ways of exploitation of these hertzian services, always more numerous, while managing in an optimal way the radio spectre. The latter is a limited natural resource which is still subject to more demands because of the rapid development of new radio services and the phenomenal craze for mobile technology. In this respect, solutions to problems of dynamic optimization are developed in a multi involving financial criteria (cost of network), technical criteria (insurance, availability) and the criteria for sale (quality of service). Problems with multi objectives, it becomes necessary to incorporate optimization methods in more general arrangements to develop more effective solutions, which can react to the shape of the problem. For these reasons we submit this article through a new approach based on multi-agent systems and spatial ontologies.
Classical approaches for evaluating information retrieval tools have limitations and shortcomings... more Classical approaches for evaluating information retrieval tools have limitations and shortcomings, particularly regarding to the consideration of the user, the manner in which these approaches measure the adequacy between the user’s query and the returned documents, and the consideration of the search tool characteristics. This critical finding prompted our reflections for the exploitation of contextual elements around the user, the query and the search tool during the evaluation process. This paper presents a new approach based on three complementary levels of context for evaluating information retrieval tools. The experiments gives at the end of this article has shown the applicability of the proposed approach to real research tools. The tests were performed with the most popular searching engine (i.e. Google, Bing and Yahoo) selected in particular for their high selectivity. The results have revealed that the evaluation of search engines at three different levels of context is a promising way to diagnose the performance, characteristics and behavior of these engines and the relevance of the results that they return.
We apply an unsupervised classification to reduce the space of sets of interest points by using w... more We apply an unsupervised classification to reduce the space of sets of interest points by using weighted bipartite graph matching in solving the point correspondence. Diffusion map: projection of the bipartite graph in a reduce space on which we apply K-means to classify the representatives clusters. The performance of our approach detector is also confirmed by excellent matching results.
Computing Research Repository, 2011
The crucial role of the evaluation in the development of the information retrieval tools is usefu... more The crucial role of the evaluation in the development of the information retrieval tools is useful evidence to improve the performance of these tools and the quality of results that they return. However, the classic evaluation approaches have limitations and shortcomings especially regarding to the user consideration, the measure of the adequacy between the query and the returned documents and the consideration of characteristics, specifications and behaviors of the search tool. Therefore, we believe that the exploitation of contextual elements could be a very good way to evaluate the search tools. So, this paper presents a new approach that takes into account the context during the evaluation process at three complementary levels. The experiments gives at the end of this article has shown the applicability of the proposed approach to real research tools. The tests were performed with the most popular searching engine (i.e. Google, Bing and Yahoo) selected in particular for their high selectivity. The obtained results revealed that the ability of these engines to rejecting dead links, redundant results and parasites pages depends strongly to how queries are formulated, and to the political of sites offering this information to present their content. The relevance evaluation of results provided by these engines, using the user's judgments, then using an automatic manner to take into account the query context has also shown a general decline in the perceived relevance according to the number of the considered results.
Problem Statement: The huge number of information on the web as well as the growth of new inexper... more Problem Statement: The huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval. It has become increasingly difficult for these users to find relevant documents that satisfy their individual needs. Certainly the current search engines (such as Google, Bing and Yahoo) offer an efficient way to browse the web content. However, the result quality is highly based on uses queries which need to be more precise to find relevant documents. This task still complicated for the majority of inept users who cannot express their needs with significant words in the query. For that reason, we believe that a reformulation of the initial user's query can be a good alternative to improve the information selectivity. This study proposes a novel approach and presents a prototype system called PRESY (Profile-based REformulation SYstem) for information retrieval on the web. Approach: It uses an incremental approach to categorize users by constructing a contextual base. The latter is composed of two types of context (static and dynamic) obtained using the users' profiles. The architecture proposed was implemented using .Net environment to perform queries reformulating tests. Results: The experiments gives at the end of this article show that the precision of the returned content is effectively improved. The tests were performed with the most popular searching engine (i.e. Google, Bind and Yahoo) selected in particular for their high selectivity. Among the given results, we found that query reformulation improve the first three results by 10.7% and 11.7% of the next seven returned elements. So as we can see the reformulation of users' initial queries improves the pertinence of returned content.
International Journal of Data Mining, Modelling and Management, 2010
The emerging field of quantum computing has recently created much interest in the computer scienc... more The emerging field of quantum computing has recently created much interest in the computer science community due to the new concepts it suggests to store and process data. In this paper, we explore some of these concepts to cope with the data clustering problem. Data clustering is a key task for most fields like data mining and pattern recognition. It aims to discover cohesive groups in large datasets. In our work, we cast this problem as an optimisation process and we describe a novel framework, which relies on a quantum representation to encode the search space and a quantum evolutionary search strategy to optimise a quality measure in quest of a good partitioning of the dataset. Results on both synthetic and real data are very promising and show the ability of the method to identify valid clusters and also its effectiveness comparing to other evolutionary algorithms. . Her areas of interest include computational intelligence, quantum inspired computing, bioinformatics and image analysis.
The important success of the mobile systems of telecommunication motivates the suppliers of servi... more The important success of the mobile systems of telecommunication motivates the suppliers of service to be reflected about enormous means of investments for infrastructures of network. The conception of big cellular networks is a complex problem, which turns around a big impact: the quality of the service and the cost of the network. With the continuous and fast growth of the traffic of communication, the large-scale planning becomes more and more difficult. This need is now more pointed with the evolution of phone networks (GSM), because of the biggest complexity of the system and the number of parameters which must be considered. In this subject, the solutions of the problems of dynamic optimization, Multicriteria associating the financial criteria (cost of the network), the technical criteria (insurance, availability) are developed in a context and the criteria of sale (quality of service). The interest of metaheuristiques (methods of optimization) is based on their capacity to find the effective solutions in a reasonable time. But with objective multi-problems, the efficiency of metaheuristiques can be compromised. Consequently, in this context it is necessary to integrate these methods into more general arrangements to develop more effective methods. For such reasons we are going to present an approach based on the multi-systems agents and the spatial ontologies, to conceive methods adaptive automobile which can react to the shape of the problem.
Fractal Structure of the Urban Objects
The International Arab Journal of Information Technology, 2004
Abstract: With regards to the big agglomerations and especially the cities, the constructed surfa... more Abstract: With regards to the big agglomerations and especially the cities, the constructed surface has often got an irregular shape, in spite of the efforts of the urbanists to promote more compact shapes. The internal spatial order of the big agglomerations is a matter of ...
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Papers by Kholladi Mohamed-Khireddine