𝔖 Scriptorium

✦ LIBER ✦

📁

Advances in Knowledge Discovery and Management: Volume 4

✍ Scribed by François Queyroi (auth.), Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed (eds.)

Publisher: Springer International Publishing
Year: 2014
Tongue: English
Leaves: 183
Series: Studies in Computational Intelligence 527
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages 1-15
Front Matter....Pages 1-1
Optimizing a Hierarchical Community Structure of a Complex Network....Pages 3-14
Nonparametric Hierarchical Clustering of Functional Data....Pages 15-35
Multi-view Clustering on Relational Data....Pages 37-51
Relaxing Time Granularity for Mining Frequent Sequences....Pages 53-76
Semantic Event Extraction from Biological Texts Using a Kernel-Based Method....Pages 77-94
Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining....Pages 95-109
Front Matter....Pages 111-111
Combination of Single Feature Classifiers for Fast Feature Selection....Pages 113-131
Classification of EEG Signals by an Evolutionary Algorithm....Pages 133-153
Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training....Pages 155-172
Back Matter....Pages 173-174

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics)

📜 SIMILAR VOLUMES

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management: Volume 2

✍ Rosine Cicchetti, Lotfi Lakhal, Sébastien Nedjar (auth.), Fabrice Guillet, Gilbe 📂 Library 📅 2012 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific Fr

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management: Volume 7

✍ Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz (eds.) 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

<p><p>This book is a collection of representative and novel works in the field of data mining, knowledge discovery, clustering and classification. Discussing both theoretical and practical aspects of “Knowledge Discovery and Management” (KDM), it is intended for researchers interested in these field

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management: Volume 8

✍ Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

<p><p>This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC’2017 & EGC’2018. The EGC conference cycle was founded by the International French-speaking EGC society (

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management: Volume 5

✍ Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed (eds.) 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

<p><p>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'2013 (Toulouse, France, January 2013) and EGC'2014 Conferences (Rennes, France, January 2014). These conferenc

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management: Volume 6

✍ Fabrice Guillet, Bruno Pinaud, Gilles Venturini (eds.) 📂 Library 📅 2017 🏛 Springer International Publishing 🌐 English

<p>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

Advances in Knowledge Discovery and Mana

📁 Advances in Knowledge Discovery and Management

✍ Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, Nicolas S. Müller (auth.), 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discove