Sixièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 6 »,
Series: Studies in Computational Intelligence,
Vol. 665, 2017, Springer.
ISBN: 978-3-319-45762-8, DOI: 10.1007/978-3-319-45763-5.

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.

Table des matières

Part I – Mining Data with Optimization

  • Carine Hue, Marc Boullé, Vincent Lemaire:
    Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization. 3-17
  • Hélène Jaudoin, Pierre Nerzic, Olivier Pivert, Daniel Rocacher:
    On Making Skyline Queries Resistant to Outliers. 19-38
  • Pierre-Francois Marteau, Sylvie Gibet, Clément Reverdy:
    Adaptive Down-Sampling and Dimension Reduction in Time Elastic Kernel Machines for Efficient Recognition of Isolated Gestures. 39-59
  • Arnaud Soulet, François Rioult:
    Exact and Approximate Minimal Pattern Mining. 61-81

Part II — Quality Measures, Dissimilarities and Ultrametrics

  • Rafik Abdesselam, Fatima-Zahra Aazi:
    Comparison of Proximity Measures for a Topological Discrimination. 85-99
  • Patricia Conde-Céspedes, Jean-François Marcotorchino, Emmanuel Viennet:
    Comparison of Linear Modularization Criteria Using the Relational Formalism, an Approach to Easily Identify Resolution Limit. 101-120
  • Jean-Charles Lamirel, Pascal Cuxac, Kafil Hajlaoui:
    A Novel Approach to Feature Selection Based on Quality Estimation Metrics. 121-140
  • Dan A. Simovici, Rosanne Vetro, Kaixun Hua:
    Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. 141-155

Part III — Semantics, Ontologies, and Social Networks

  • Bissan Audeh, Philippe Beaune, Michel Beigbeder:
    SMERA: Semantic Mixed Approach for Web Query Expansion and Reformulation. 159-180
  • Thomas Dietenbeck, Fakhri Torkhani, Ahlem Othmani, Marco Attene, Jean-Marie Favreau:
    Multi-layer Ontologies for Integrated 3D Shape Segmentation and Annotation. 181-206
  • Thomas Hecht, Patrice Buche, Juliette Dibie, Liliana Ibanescu, Cassia Trojahn dos Santos:
    Ontology Alignment Using Web Linked Ontologies as Background Knowledge. 207-227
  • Gianluca Quercini, Nacéra Bennacer, Mohammad Ghufran, Coriane Nana Jipmo:
    LIAISON: reconciLIAtion of Individuals Profiles Across SOcial Networks. 229-253
  • Erick Stattner, Martine Collard:
    Clustering of Links and Clustering of Nodes: Fusion of Knowledge in Social Networks. 255-276

Cinquièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 5 »,
Series: Studies in Computational Intelligence,
Vol. 615, 2016, Springer.
ISBN: 978-3-319-23751-0, DOI: 10.1007/978-3-319-23751-0.

About this book

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 conferences were respectively the 13th and 14th editions 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 aiming at 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 « Applications of KDM to real datasets » and « Foundations of KDM ».

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I – Applications of KDM to Real Datasets

  • Romain Guigourès, Marc Boullé and Fabrice Rossi:
    A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. 3-18
  • Mohamed K. El Mahrsi, Romain Guigourès, Fabrice Rossi
    and Marc Boullé:
    Co-Clustering Network-Constrained Trajectory Data. 19-32
  • Natalia Grabar, Pierre Chauveau-Thoumelin and Loïc Dumonet:
    Medical Discourse and Subjectivity. 33-54

Part II — Foundations of KDM

  • Xavier Dolques, Florence Le Ber, Marianne Huchard
    and Clémentine Nebut:
    Relational Concept Analysis for Relational Data Exploration. 57-78
  • Modou Gueye, Talel Abdessalem and Hubert Naacke:
    Dynamic Recommender System: Using Cluster-Based Biases to Improve the Accuracy of the Predictions. 79-104
  • Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux
    and Alban Lepailleur:
    Mining (Soft-) Skypatterns Using Constraint Programming. 105-136

Quatrièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 4 »,
Series: Studies in Computational Intelligence,
Vol. 527, 2014, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-319-02999-3.

About this book

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 societe (EGC in French stands for “Extraction et Gestion des Connaissances” and means “Knowledge Discovery and Management”, or KDM).

Structure of the Book

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.

Keywords:

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Knowledge Discovery and Data Mining

  • François Queyroi:
    Optimizing a Hierarchical Community Structure of a Complex Network. 3-14
  • Marc Boullé, Romain Guigourès, Fabrice Rossi:
    Nonparametric Hierarchical Clustering of Functional Data. 15-35
  • Francisco de A.T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo:
    Multi-view Clustering on Relational Data. 37-51
  • Asma Ben Zakour, Sofian Maabout, Mohamed Mosbah, Marc Sistiaga:
    Relaxing Time Granularity for Mining Frequent Sequences. 53-76
  • Rim Faiz, Maha Amami, Aymen Elkhlifi:
    Semantic Event Extraction from Biological Texts Using a Kernel-Based Method. 77-94
  • Dhafer Lahbib, Marc Boullé, Dominique Laurent:
    Supervised Pre-processing of Numerical Variables for Multi-Relational Data Mining. 95-109

Part II — Classification and Feature Extraction or Selection

  • Hassan Chouaib, Florence Cloppet, Nicole Vincent:
    Combination of Single Feature Classifiers for Fast Feature Selection. 113-131
  • Laurent Vézard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba:
    Classification of EEG Signals by an Evolutionary Algorithm. 133-153
  • Thanh-Nghi Doan, François Poulet:
    Large Scale Image Classification: Fast Feature Extraction, Multi-codebook Approach and Multi-core SVM Training. 155-172

Troisièmes post-actes

Fabrice Guillet, Bruno Pinaud, Gilles Venturini and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 3 »,
Series: Studies in Computational Intelligence,
Vol. 471, 2013, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-642-35855-5.

About this book

The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC’2011 Conference held in Brest, France, on January 2011. These 10 best papers have been selected from the 34 papers accepted in long format at the conference. These 34 long papers were themselves the result of a peer and blind review process among the 131 papers initially submitted to the conference in 2011 (acceptance rate of 26% for long papers). This conference was the 11th 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 International French-speaking EGC society (EGC in French stands for “Extraction et Gestion des Connaissances” and means “Knowledge Discovery and Management”, or KDM). This society organizes every year its main conference (about 200 attendees) but also workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry or public organizations. For more details about the EGC society, please consult http://www.egc.asso.fr.

Structure of the Book

This book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. It 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.

This book has been structured in two parts. The first part, entitled “Data
Mining, classification and queries”, deals with rule and pattern mining, with topological approaches and with OLAP. Three chapters study rule and pattern mining and concern binary data sets, sequences, and association rules. Chapters related to topological approaches study different distance measures and a new method that learns a hierarchical topological map. Finally, one chapter deals with OLAP and studies the mining of queries logs.
The second part of the book, entitled “Ontology and Semantic”, is more related to knowledge-based and user-centered approaches in KDM. One chapter deals with the enrichment of folksonomies and the three other chapters deal with ontologies.

Written for

Engineers, researchers, and graduate students in computer science

Keywords

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Data Mining, Classification and Queries

  • Dominique Gay, Marc Boullé:
    A Bayesian Criterion for Evaluating the Robustness of Classification
    Rules in Binary Data Sets. 3-22
  • Julien Rabatel, Sandra Bringay, Pascal Poncelet:
    Mining Sequential Patterns: A Context-Aware Approach. 23-42
  • Djamel Abdelkader Zighed, Rafik Abdesselam, Ahmed Bounekkar:
    Comparison of Proximity Measures: A Topological Approach. 43-58
  • Israël César Lerman, Sylvie Guillaume:
    Comparing Two Discriminant Probabilistic Interestingness Measures for Association Rules. 59-84
  • Hanane Azzag, Mustapha Lebbah:
    A New Way for Hierarchical and Topological Clustering. 85-98
  • Julien Aligon, Patrick Marcel, Elsa Negre:
    Summarizing and Querying Logs of OLAP Queries. 99-124

Part II — Ontology and Semantic

  • Freddy Limpens, Fabien Gandon, Michel Buffa:
    A Complete Life-Cycle for the Semantic Enrichment of Folksonomies. 127-150
  • Ammar Mechouche, Nathalie Abadie, Emeric Prouteau, Sébastien Mustière:
    Ontology-Based Formal Specifications for User-Friendly Geospatial Data Discovery. 151-176
  • Toader Gherasim, Mounira Harzallah, Giuseppe Berio, Pascale Kuntz:
    Methods and Tools for Automatic Construction of Ontologies from Textual Resources: A Framework for Comparison and Its Application. 177-201
  • Lionel Chauvin, David Genest, Aymeric Le Dorze, Stéphane Loiseau:
    User Centered Cognitive Maps. 203-220

Deuxièmes post-actes

Fabrice Guillet, Gilbert Ritschard and Djamel Abdelkader Zighed (eds),
« Advances In Knowledge Discovery and Management, Volume 2 »,
Series: Studies in Computational Intelligence,
Volume 398, 2012, Springer.
ISBN: 978-3-642-25837-4, DOI: 10.1007/978-3-642-25838-1.

L’ouvrage est accessible en édition électronique sur Springer Link.

Cliquez ici pour télécharger la préface et la table des matières »

Cliquez ici pour télécharger la fiche produit du livre »

About this book

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 French-speaking association, called EGC, dedicated to supporting and promoting this topic. More precisely, KDM is concerned with the interface between knowledge and data such as, among other things, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and Semantic Web. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2010 Conference held in Tunis, Tunisia in January 2010.
The volume is organized in three parts. Part I includes four chapters concerned with various aspects of Data Cube and Ontology-based representations. Part II is composed of four chapters concerned with Efficient Pattern Mining issues, while in Part III the last four chapters address Data Preprocessing and Information Retrieval.

Written for

Engineers, researchers, and graduate students in computer science

Keywords

Knowledge Discovery, Knowledge Management, Data Mining, Knowledge Engineering, Applications

Table des matières

Part I — Data Cube and Ontology-based representations

  • Rosine Cicchetti, Lotfi Lakhal, and Sébastien Nedjar:
    Constrained Closed and Quotient Cubes. 3-26
  • Hanen Brahmi, Tarek Hamrouni, Riadh Ben Messaoud, and Sadok Ben Yahia:
    A New Concise and Exact Representation of Data Cubes. 27-48
  • Michel Buffa and Catherine Faron-Zucker:
    Ontology-Based Access Rights Management. 49-62
  • Souhir Gahbiche, Nathalie Pernelle, and Fatiha Saïs:
    Explaining Reference Reconciliation Decisions: a Coloured Petri Nets based approach. 63-84

Part II — Efficient Pattern Mining

  • Mehdi Khiari, Patrice Boizumault, and Bruno Crémilleux:
    Combining Constraint Programming and Constraint-based Mining for Pattern Discovery. 85-104
  • Marc Boullé:
    Simultaneous Partitioning of Input and Class Variables for Supervised Classification Problems with Many Classes. 105-120
  • Lionel Martin, Matthieu Exbrayat, Guillaume Cleuziou, and Frédéric Moal:
    Interactive and progressive constraint definition for dimensionality reduction and visualization. 121-138
  • Anne Laurent, Benjamin Négrevergne, Nicolas Sicard, and Alexandre Termier:
    Efficient parallel mining of gradual patterns on multicore processors. 139-156

Part III — Data Preprocessing and Information Retrieval

  • Mickael Coustaty, Vincent Courboulay, and Jean-Marc Ogier:
    Analyzing Old Documents Using a Complex Approach: application to lettrines indexing. 157-174
  • Marc Joliveau:
    Identifying relevant features of images from their 2-D topology. 175-192
  • Radja Messai and Michel Simonet and Nathalie Bricon-Souf and Mireille Mousseau:
    Analyzing Health Consumer Terminology for Query Reformulation Tasks. 193-214
  • Patrick Bosc, Allel Hadjali, Olivier Pivert, and Grégory Smits:
    An approach based on predicate correlation to the reduction of plethoric answer sets. 215-236

 

Premiers post-actes

Fabrice Guillet, Gilbert Ritschard, Djamel Abdelkader Zighed and Henri Briand (eds),
« Advances In Knowledge Discovery and Management »,
Series: Studies in Computational Intelligence,
Vol. 292, 2010, Springer.
ISBN: 978-3-642-00579-4, DOI: 10.1007/978-3-642-00580-0.

L’ouvrage est accessible en édition électronique sur Springer Link.

Et il est également indexé par DBLP.

Cliquez ici pour télécharger la préface et la table des matières »

Cliquez ici pour télécharger la fiche produit du livre »

Table des matières

Part I: Supervised Learning and Information Retrieval

  • Matthias Studer, Gilbert Ritschard, Alexis Gabadinho, Nicolas S. Müller:
    Discrepancy Analysis of Complex Objects Using Dissimilarities. 3-19
  • Nicolas Voisine, Marc Boullé, Carine Hue:
    A Bayes Evaluation Criterion for Decision Trees. 21-38
  • Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham:
    Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees. 39-55
  • Nguyen-Khang Pham, Annie Morin, Patrick Gros, Quyet-Thang Le:
    Intensive Use of Correspondence Analysis for Large Scale Content-Based Image Retrieval. 57-76
  • Emanuel Aldea, Isabelle Bloch:
    Toward a Better Integration of Spatial Relations in Learning with Graphical Models. 77-94

Part II: Unsupervised Learning

  • Gilles Hubert, Olivier Teste:
    Multigranular Manipulations for OLAP Querying. 97-112
  • Sébastien Lefèvre:
    A New Approach for Unsupervised Classification in Image Segmentation. 113-131
  • Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
    Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. 133-147
  • Guillaume Cleuziou:
    Two Variants of the OKM for Overlapping Clustering. 149-166
  • Romain Bourqui, Paolo Simonetto, Fabien Jourdan:
    A Stable Decomposition Algorithm for Dynamic Social Network Analysis. 167-178

Part III: Security and Data Streaming

  • Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
    An Hybrid Data Stream Summarizing Approach by Sampling and Clustering. 181-200
  • Lionel Vinceslas, Jean-Emile Symphor, Alban Mancheron, Pascal Poncelet:
    SPAMS: A Novel Incremental Approach for Sequential Pattern Mining in Data Streams. 201-216
  • Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet:
    Mining Common Outliers for Intrusion Detection. 217-234
  • Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia:
    Intrusion Detections in Collaborative Organizations by Preserving Privacy. 235-247

Part IV: Ontologies and Semantic

  • Fayçal Hamdi, Brigitte Safar, Chantal Reynaud, Haïfa Zargayouna:
    Alignment-Based Partitioning of Large-Scale Ontologies. 251-269
  • Farid Cerbah:
    Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases. 271-286
  • Alina Dia Miron, Jérôme Gensel, Marlène Villanova-Oliver:
    Semantic Analysis for the Geospatial Semantic Web. 287-306
  • Alain Lelu, Martine Cadot:
    Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection. 307-324