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Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects

Abstract : Understanding the structure of relationships between objects in a given database is one of the most important problems in the field of data mining. The structure can be defined for a set of single objects (clustering) or a set of groups of objects (network mapping). We propose a method for discovering relationships between individuals (single or groups) that is based on what we call the empirical topology, a system-theoretic measure of functional proximity. To illustrate the suitability and efficiency of the method, we apply it to an astronomical data base.
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Hesam T. Dashti, Mary E. Kloc, Tiago Simas, Rita A. Ribeiro, Amir H. Assadi. Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.33-41, ⟨10.1007/978-3-642-11628-5_4⟩. ⟨hal-01060786⟩

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