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Titlebook: Advances in Knowledge Discovery and Management; Volume 4 Fabrice Guillet,Bruno Pinaud,Djamel Abdelkader Zig Book 2014 Springer Internationa

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发表于 2025-3-21 18:30:08 | 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 4
影响因子2023Fabrice Guillet,Bruno Pinaud,Djamel Abdelkader Zig
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发行地址Recent research in Knowledge Discovery and Management.Carefully edited post-proceedings book.Written by a leading expert in the field
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Knowledge Discovery and Management; Volume 4 Fabrice Guillet,Bruno Pinaud,Djamel Abdelkader Zig Book 2014 Springer Internationa
影响因子.This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC‘2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for ``Extraction et Gestion des Connaissances‘‘ and means ``Knowledge Discovery and Management‘‘, or KDM)..This book is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called ``Knowledge Discovery and Data Mining‘‘ and ``Classification and Feature Extraction or Selection‘‘. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection..
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Fabrice Guillet,Bruno Pinaud,Djamel Abdelkader ZigRecent research in Knowledge Discovery and Management.Carefully edited post-proceedings book.Written by a leading expert in the field
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UICC International Union Against Cancerimportant question in this domain is to know if this hierarchy reflects the structure of the network or if it is only an artifice due to the conduct of the procedure. We propose a method to validate and, if necessary, to optimize the multi-scale decomposition produced by such methods. We apply our p
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Case Study 1 Optic Nerve Druseno capture these results in structured formats allowing for computational analysis. Although many efforts have been focused to create databases that store this information in computer readable form, populating these sources largely requires a manual process of interpreting and extracting biological e
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Roger P. Harrie,Cynthia J. Kendalleveral records in secondary tables in one-to-many relationship. Variable pre-processing (including discretization and feature selection) within this multiple table setting differs from the attribute-value case. Besides the target variable information, one should take into account the relational stru
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