Advances in Knowledge Discovery and Management Volume 6 /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Guillet, Fabrice (Editor), Pinaud, Bruno (Editor), Venturini, Gilles (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:Studies in Computational Intelligence, 665
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Part I: Online learning of a weighted selective naive Bayes classifier with non-convex optimization
  • On making skyline queries resistant to outliers
  • Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures
  • Exact and Approximate Minimal Pattern Mining
  • Part II: Comparison of proximity measures for a topological discrimination
  • Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit
  • A novel approach to feature selection based on quality estimation metrics
  • Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining
  • Part III: SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation
  • Multi-layer ontologies for integrated 3D shape segmentation and annotation
  • Ontology Alignment Using Web Linked Ontologies as Background Knowledge
  • LIAISON: reconciLIAtion of Individuals profiles across SOcial Networks
  • Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks.