Axe 1 : Valorisation des données pour la prise de décision
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This research assesses the impact of the various states of mind of Flow psychological theory (Csíkszentmihályi 1990) in relation to brand recall and recognit...
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This paper presents a model for identifying general goals of anonymous consumers visiting a retail website. When visiting a transactional website, consumers ...
référence BibTeXPerformance of n-Grams for a Question Retrieval System in the Context of Approximated Spelling
Question retrieval systems, unlike question answering systems, exploit the knowledge contained in previously answered questions to answer new ones by returni...
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There has been a wide interest to extend univariate and multivariate nonparametric procedures to clustered and hierarchical data. Traditionally, parametric m...
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Top-tier customers - that is, those 20% of customers that typically bring in 80% of all profits - are extremely valuable to companies. In the many instances ...
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Variable neighborhood search (VNS) is a metaheuristic, or framework for building heuristics, based upon systematic change of neighborhoods both in a decent ...
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Minimum sum-of-squares clustering (MSSC) consists in partitioning a given set of <i>n</i> points into <i>k</i> clusters in order to minimize the sum of squar...
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This paper estimates a structural vector autoregression model to assess the dynamic effects of terrorism on output and prices in Israel over the post-1985 pe...
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Methods, models, heuristic and exact algorithms for clustering are reviewed from a mathematical programming view point.
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A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al., <i>Machine Learning</i> 56, 9--33, 2004, is not valid. An altern...
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Le texte qui suit est un chapitre du livre intitulé <i>Fourmis artificielles, des bases algorithmiques aux concepts et réalisations avancés</i>, Nicolas Monm...
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Minimum sum-of-squares clustering consists in partitioning a given set of <i>n</i> points into <i>c</i> clusters in order to minimize the sum of squared dist...
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In this paper we present a simple technique that uses background information to improve mining the frequent patterns of structured data. This technique uses ...
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Flexibility in workforce planning is one of the best ways to respond to fluctuations of the demand. This paper proposes a flexible mixed integer linear pro...
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<p> Given a graph <i>G=(V,E)</i> with strictly positive integer weights <img src="/cgi-bin/mimetex.cgi?\omega_i"> on the vertices <img src="/cgi-bin/mimete...
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This paper proposes to use local search inside filtering algorithms of combinatorial structures for which achieving a desired level of consistency is too c...
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A weighted multivariate signed-rank test is introduced for an analysis of multivariate clustered data. Observations in different clusters may then get diffe...
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With the help of the AutoGraphiX system, we study relations of the form
<img src="/cgi-bin/mimetex.cgi?\underline{b}m \le i1(G) \oplus i_2(G) \le \overl...
référence BibTeXMultivariate Mixed Decision Trees
In this paper, we propose a tree-based method for multivariate outcomes consisting in a mixture of categorical and continuous responses. The split function...
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In this paper, we consider the nonparametric Behrens-Fisher problem with cluster correlated data. A class of weighted Mann-Whitney test statistics are intr...
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