Advances in knowledge discovery and management. Vol.6

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

Publisher: Springer
Year: 2017
Tongue: English
Leaves: 288
Series: Studies in Computational Intelligence
Edition: 1st ed.
Category: Library

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

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