Titlebook: Advances in Knowledge Discovery and Management; Volume 6 Fabrice Guillet,Bruno Pinaud,Gilles Venturini Book 2017 Springer International Pub

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Fabrice Guillet,Bruno Pinaud,Gilles VenturiniPresents representative and novel works done in Data Science, Semantic Web, Clustering and Classification.Offers expanded and reworked versions of selected papers presented at the EGC 2014 and EGC 201

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Jean-Marc Rickli,Marcello Iencalicity and performance when the strong assumption of conditional independence is valid. Variable selection and model averaging are two common ways to improve this model. This process leads to manipulate a weighted na?ve Bayes classifier. We focus here on direct estimation of weighted na?ve Bayes cla

filial

Imaging of Atherosclerosis with 18F-FDG PET involving outliers. Indeed, many real-world datasets, for instance from ad sales websites, contain odd data and it is important to limit the impact of such odd data (outliers) on the result of skyline queries, and prevent them from hiding more interesting points. The approach we propose relies on t

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Faiq Shaikh,Benjamin Franc,Francisca Mulero movements are considered. Furthermore, this feature vector evolves during the movement performance so that a complete movement is fully represented by a matrix . of size ., whose element . represents the value of feature . at timestamps .. Many studies have addressed dimensionality reduction consid

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GRIN

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