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Master Thesis

Visualisation des règles d'association en environnement virtuel 3D interactif

Abstract : The purpose of this report is to provide a three-dimensional graphic representation solution for association rules. The principal disadvantage in the process of rule generation from databases is the huge volumes of rules extracted by classic algorithms. Our approach aims at integrating the human in the data exploration process. To do it, we try to insert the user like a decision-maker into a search loop for the knowledge discovering by an interactive graphic representation. The information visualization greatly reduces the cognitive effort for user in charge of estimate and validation rules extracted. In ECD, the difficulty of the visual data mining is then to translate raw abstract data into concrete shapes graphic. This concept is based on metaphor. The related works part presents the available tools and techniques: extract association rules algorithms and methods to display information on screen or using virtual reality. The realization part describes the extraction tool using a PostgreSQL database. The visualization part presents a new metaphor for rules description and measures. We implement an objective measure FREITAS A .A, (1998) which shows the importance of the interaction between the attributes belonging to the rule antecedent. This key concept of data mining has been relatively little investigated in the literature. Our metaphor offers a direct reading of the various kinds of rules who carry interest by measuring the information gain through each individual attributes.
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Master Thesis
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Submitted on : Thursday, May 10, 2012 - 11:05:02 AM
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  • HAL Id : dumas-00693961, version 1

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Dominique Hervouet. Visualisation des règles d'association en environnement virtuel 3D interactif. Recherche d'information [cs.IR]. 2011. ⟨dumas-00693961⟩

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