Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis

Abstract : This special issue is a following to the workshop entitled " Theory and Applications of High dimensional Complex and Symbolic Data Analysis in Economics and Management Science " which took place on October, 27 to October, 30 2011, at the School of Economics and Management, Beihang University, Beijing, China. 37 participants from 9 différent countries (Belgium, Brasil, China, France, Italy, Japan, Portugal, élèvenia, USA) attended this workshop. 24 communications have been présented. This issue corresponds to an extended version of the best contributions as well as original submissions in the same field; all have been submitted to a long and severe refereeing process. The major part of the 12 papers of this special issue are about symbolic data analysis as well in an exploratory context (PCA of interval data), as in a predictive one (regression with histogram data). The other contributions give an overview of applications in some very active fields of Data Mining: social networks, recommendation systems, grouped data.
Type de document :
Ouvrage (y compris édition critique et traduction)
Rong Guan and Yves Lechevallier and Gilbert Saporta and Huiwen Wang. Hermann, RNTI E.25, pp.197, 2013, Revue des Nouvelles Technologies de l'Information
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Contributeur : Yves Lechevallier <>
Soumis le : mercredi 11 décembre 2013 - 22:59:03
Dernière modification le : mardi 17 avril 2018 - 11:24:09

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Yves Lechevallier, Gilbert Saporta, Huiwen Wang, Rong Guan. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis. Rong Guan and Yves Lechevallier and Gilbert Saporta and Huiwen Wang. Hermann, RNTI E.25, pp.197, 2013, Revue des Nouvelles Technologies de l'Information. 〈hal-00917511〉

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