Skip to main content
SpringerLink
Log in

Advances in Knowledge Discovery and Management

Volume 6

  • Book
  • © 2017

Overview

Editors:
  1. Fabrice Guillet

    1. Polytech Nantes, University of Nantes, Nantes Cedex 3, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Bruno Pinaud

    1. University of Bordeaux, Talence Cedex, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Gilles Venturini

    1. Polytechnics Graduate School, University of Tours, Tours, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents representative and novel works done in Data Science, Semantic Web, Clustering and Classification
  • Offers expanded and reworked versions of selected papers presented at the EGC 2014 and EGC 2015 conferences
  • Concerns both theoretical and practical aspects of Knowledge Discovery and Management for scholars, PhD or MSc students, and researchers from public or private laboratories
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 665)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Mining Data with Optimization

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization

      • Carine Hue, Marc Boullé, Vincent Lemaire
      Pages 3-17

    3. On Making Skyline Queries Resistant to Outliers

      • Hélène Jaudoin, Pierre Nerzic, Olivier Pivert, Daniel Rocacher
      Pages 19-38

    4. Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures

      • Pierre-Francois Marteau, Sylvie Gibet, Clément Reverdy
      Pages 39-59

    5. Exact and Approximate Minimal Pattern Mining

      • Arnaud Soulet, François Rioult
      Pages 61-81

  3. Quality Measures, Dissimilarities and Ultrametrics

    1. Front Matter

      Pages 83-83
      Download chapter PDF

    2. Comparison of Proximity Measures for a Topological Discrimination

      • Rafik Abdesselam, Fatima-Zahra Aazi
      Pages 85-99

    3. Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit

      • Patricia Conde-Céspedes, Jean-François Marcotorchino, Emmanuel Viennet
      Pages 101-120

    4. A Novel Approach to Feature Selection Based on Quality Estimation Metrics

      • Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui
      Pages 121-140

    5. Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining

      • Dan A. Simovici, Rosanne Vetro, Kaixun Hua
      Pages 141-155

  4. Semantics, Ontologies, and Social Networks

    1. Front Matter

      Pages 157-157
      Download chapter PDF

    2. SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation

      • Bissan Audeh, Philippe Beaune, Michel Beigbeder
      Pages 159-180

    3. Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation

      • Thomas Dietenbeck, Fakhri Torkhani, Ahlem Othmani, Marco Attene, Jean-Marie Favreau
      Pages 181-206

    4. Ontology Alignment Using Web Linked Ontologies as Background Knowledge

      • Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cassia Trojahn dos Santos
      Pages 207-227

    5. LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks

      • Gianluca Quercini, Nacéra Bennacer, Mohammad Ghufran, Coriane Nana Jipmo
      Pages 229-253

    6. Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks

      • Erick Stattner, Martine Collard
      Pages 255-276

  5. Back Matter

    Pages 277-278
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • Polytech Nantes, University of Nantes, Nantes Cedex 3, France

    Fabrice Guillet

  • University of Bordeaux, Talence Cedex, France

    Bruno Pinaud

  • Polytechnics Graduate School, University of Tours, Tours, France

    Gilles Venturini

Bibliographic Information

  • Book Title: Advances in Knowledge Discovery and Management

  • Book Subtitle: Volume 6

  • Editors: Fabrice Guillet, Bruno Pinaud, Gilles Venturini

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-45763-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2017

  • Hardcover ISBN: 978-3-319-45762-8Published: 15 November 2016

  • Softcover ISBN: 978-3-319-83368-2Published: 28 June 2018

  • eBook ISBN: 978-3-319-45763-5Published: 03 November 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XXI, 278

  • Number of Illustrations: 20 b/w illustrations, 61 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Computational Intelligence, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation