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

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发表于 2025-3-21 16:09:49 | 显示全部楼层 |阅读模式
期刊全称Advances in Knowledge Discovery and Management
期刊简称Volume 6
影响因子2023Fabrice Guillet,Bruno Pinaud,Gilles Venturini
视频video
发行地址Presents 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
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Knowledge Discovery and Management; Volume 6 Fabrice Guillet,Bruno Pinaud,Gilles Venturini Book 2017 Springer International Pub
影响因子This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) in January 2014 and Luxembourg in January 2015. The book is in three parts: The first four chapters discuss optimization considerations in data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapters focus on semantics, ontologies and social networks..Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management..
Pindex Book 2017
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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 naïve Bayes classifier. We focus here on direct estimation of weighted naïve Bayes cla
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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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