𝔖 Scriptorium

✦ LIBER ✦

📁

Advances in Knowledge Discovery and Management: Volume 6

✍ Scribed by Fabrice Guillet, Bruno Pinaud, Gilles Venturini (eds.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 288
Series: Studies in Computational Intelligence 665
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization....Pages 3-17
On Making Skyline Queries Resistant to Outliers....Pages 19-38
Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures....Pages 39-59
Exact and Approximate Minimal Pattern Mining....Pages 61-81
Front Matter....Pages 83-83
Comparison of Proximity Measures for a Topological Discrimination....Pages 85-99
Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit....Pages 101-120
A Novel Approach to Feature Selection Based on Quality Estimation Metrics....Pages 121-140
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining....Pages 141-155
Front Matter....Pages 157-157
SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation....Pages 159-180
Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation....Pages 181-206
Ontology Alignment Using Web Linked Ontologies as Background Knowledge....Pages 207-227
LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks....Pages 229-253
Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks....Pages 255-276
Back Matter....Pages 277-278

✦ Subjects

Data Mining and Knowledge Discovery;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 4

✍ François Queyroi (auth.), Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djame 📂 Library 📅 2014 🏛 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'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event,

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. Vol.6

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

<div>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 hel