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This paper describes a method for extracting relevant tokens of entity from semi-structured administrative documents. This method is used for mislabeling correction by employing the entity tokens physically close in a document. Firstly, the entities are labeled. Secondly, each entity is modeled by a tokens structure graph in which the nodes represent the tokens and the arcs represent the distances...
This paper describes a process of converting raw Global Positioning System (GPS) data to a routable road map. In fact, it is a large scale database collected from thousands of vehicles circulating on Tunisian public roads. Moreover, the paper contains the architecture used to collect GPS data from these vehicles using GPRS connection and all the steps until getting the road traces. The data flow is...
This work is located in the domain of the Knowledge Discovery from Data (KDD). The purpose of the KDD is the extraction of knowledge or of a knowledge starting from great number of data which evolve in a dynamic way. In this work we propose an approach for the temporal KDD. The Bayesian Network (BN) is one of the techniques used in KDD. Our objective comes back to fix the best algorithm of incremental...
Knowledge Discovery from Databases (KDD) process is complex, iterative and interactive. It takes place several phases. For its implementation, several modules should be developed (module for data storage, module for processing data, data mining module, evaluation module, knowledge management module). The objective of this study is to propose an approach which assimilates every module to an agent....
The improvement of medical care quality is a significant interest for the coming years. In this context, we have created an application that can be used to visualize patients' fixed and temporal data. It has been developed to better understand a large collection of patients' data in the Intensive Care Unit in order to prevent the nosocomial infection occurrence. It is based on data visualization technique:...
In this article we propose an approach for a decision support system (DSS) based on Knowledge Discovery from Databases (KDD). In such system, user must be involved throughout the decision-making process. In consequence we propose the integration of a Human–Computer Interaction (HCI) model into the development of DSS process based on KDD. The approach we propose is based on two systems development...
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