Catégorie : Post-actes EGC

Special Section on Advances in knowledge discovery and management, best papers of EGC 2022

Editors: Sihem Amer-Yahia & Arnaud Soulet

Data & Knowledge Engineering. Volume 142. nov. 2022.

Table des matières

Louis Geiler, Séverine Affeldt, Mohamed Nadif. An effective strategy for churn prediction and customer profiling. https://doi.org/10.1016/j.datak.2022.102100

Esso-Ridah Bleza, Valérie Monbet, Pierre-François Marteau. Pollen risk levels prediction from multi-source historical data. https://doi.org/10.1016/j.datak.2022.102096

Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet. Towards a better identification of Bitcoin actors by supervised learning. https://doi.org/10.1016/j.datak.2022.102094

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet. In pursuit of the hidden features of GNN’s internal representations. https://doi.org/10.1016/j.datak.2022.102097

Pierre-Yves Genest, Laurent-Walter Goix, Yasser Khalafaoui, Előd Egyed-Zsigmond, Nistor Grozavu. French translation of a dialogue dataset and text-based emotion detection. https://doi.org/10.1016/j.datak.2022.102099

Medjeu Fopa, Modou Gueye, Samba Ndiaye, Hubert Naacke. A parameter-free KNN for rating prediction. https://doi.org/10.1016/j.datak.2022.102095

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Alice Brenon, Ludovic Moncla, Katherine McDonough, Pierre Marquis. On the explanatory power of Boolean decision trees. https://doi.org/10.1016/j.datak.2022.102088

Alice Brenon, Ludovic Moncla, Katherine McDonough. Classifying encyclopedia articles: Comparing machine and deep learning methods and exploring their predictions. https://doi.org/10.1016/j.datak.2022.102098

Special Issue of Revised and Extended Papers From the 21st Advances in Knowledge Discovery and Management Conference

Editors: V. Lemaire, J Azé

International Journal of Data Warehousing and Mining, Volume 18 • Issue 2

Table des matières

Selmaoui-Folcher, N., Tokotoko, J., Gorohouna, S., Roi, L., Leschi, C., & Ris, C. (2022). Concept of Temporal Pretopology for the Analysis for Structural Changes: Application to Econometrics. International Journal of Data Warehousing and Mining (IJDWM), 18(2), 1-17. http://doi.org/10.4018/IJDWM.298004

Giacometti, A., Markhoff, B., & Soulet, A. (2022). A Method for Generating Comparison Tables From the Semantic Web. International Journal of Data Warehousing and Mining (IJDWM), 18(2), 1-20. http://doi.org/10.4018/IJDWM.298008

Siblini, W., Challal, M., & Pasqual, C. (2022). Efficient Open Domain Question Answering With Delayed Attention in Transformer-Based Models. International Journal of Data Warehousing and Mining (IJDWM), 18(2), 1-16. http://doi.org/10.4018/IJDWM.298005

Scherrer, R., Aulnette, E., Quiniou, T., Kasarherou, J., Kolb, P., & Selmaoui-Folcher, N. (2022). Boat Detection in Marina Using Time-Delay Analysis and Deep Learning. International Journal of Data Warehousing and Mining (IJDWM), 18(2), 1-16. http://doi.org/10.4018/IJDWM.298006

Schild, E., Durantin, G., Lamirel, J., & Miconi, F. (2022). Iterative and Semi-Supervised Design of Chatbots Using Interactive Clustering. International Journal of Data Warehousing and Mining (IJDWM), 18(2), 1-19. http://doi.org/10.4018/IJDWM.298007

Advances in Knowledge Discovery and Management Vol. 10 (AKDM-10)

Editors: R. Jaziri, A. Martin, A. Cornuéjols, E. Cuvelier, F. Guillet

A refereed Book of Chapters: post proceedings of EGC 2020.

Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjelou-Assala, Fabrice Guillet (Eds.)

« Advances In Knowledge Discovery and Management, Volume 9 »,
Series: Studies in Computational Intelligence,
Vol. 1004, 2022, Springer.
ISBN: 978-3-030-90287-2, DOI: 10.1007/978-3-030-90287-2.

About this book

Table des matières

• Leila Moudjari, Karima Akli-Astouati:
  Construction and Exploitation of an Algerian Corpus for Opinion and Emotion Analysis. 3-23
• Cédric Lopez, Melissa Mekaoui, Kevin Aubry, Guillaume Tisserant, Hani Guenoune, Mathieu Dodard et al.:
  Recursive Named Entity Recognition. 25-45
• Lucas Foulon, Christophe Rigotti, Serge Fenet, Denis Jouvin:
  Anomaly Detection Based on Sequence Indexation and CFOF Score Approximation 47-61
• Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul:
  A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits. 65-76
• Rokia Missaoui, Abir Messaoudi, Mohamed Hamza Ibrahim, Talel Abdessalem:
  Detecting Communities in Complex Networks Using Formal Concept Analysis. 77-105
• Yassine Ramdane, Nadia Kabachi, Omar Boussaid, Fadila Bentayeb:
  A Data Mining Approach to Guide the Physical Design of Distributed Big Data Warehouses. 107-125
• Sylvie Guillaume, Didier Macheboeuf:
  Association Rule Mining to Shortlist Plant Phenolic Compounds Likely to Decrease Methane Emissions by Ruminants. 129-158
• Jules Leguy, Thomas Cauchy, Béatrice Duval, Benoit Da Mota:
  Predicting Interatomic Distances of Molecular Quantum Chemistry Calculations. 159-174
• Amirouche Ouzerdine, Agnès Braud, Xavier Dolques, Marianne Huchard, Florence Le Ber:
  Adjusting the Exploration Flow in Relational Concept Analysis. 175-198

Bruno Pinaud, Fabrice Guillet,  Fabien Gandon, Christine Largeron (Eds.)
« Advances In Knowledge Discovery and Management, Volume 8 »,
Series: Studies in Computational Intelligence,
Vol. 834, 2019, Springer.
ISBN: 978-3-030-18128-4, DOI: 10.1007/978-3-030-18129-1.

About this book

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 (“Extraction et Gestion des Connaissances”) in 2003, and has since become a respected fixture among the French-speaking community. In addition to the annual conference, the society organizes various other events in order to promote exchanges between researchers and companies concerned with KDM and its applications to business, administration, industry and public organizations.

Addressing novel research in data science, semantic Web, clustering, and classification, the content presented here will chiefly benefit researchers interested in these fields, including Ph.D./M.Sc. students, at public and private laboratories alike..

Table des matières

• Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
  Model Based Co-clustering of Mixed Numerical and Binary Data. 3-22
• Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
  Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables . 23-41
• Julien Hay, Tim Van de Cruys, Philippe Muller, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait-Elhara:
  Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity. 45-60
• Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard:
  Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models. 61-86
• Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe:
  Discriminant Chronicle Mining. 89-118
• Anne Toulet, Emmanuel Roux, Anne-Élisabeth Laques, Éric Delaître, Laurent Demagistri, Isabelle Mougenot:
  A Semantic-Based Approach for Landscape Identification. 119-136
• Jean-Christophe Dubois, Laetitia Gros, Mouloud Kharoune, Yolande Le Gall, Arnaud Martin, Zoltan Miklos et al.:
  Measuring the Expertise of Workers for Crowdsourcing Applications. 139-157
• Benjamin Costé, Cyril Ray, Gouenou Coatrieux:
  Trust Assessment for the Security of Information Systems. 159-181

Bruno Pinaud, Fabrice Guillet, Bruno Cremilleux, Cyril de Runz (Eds.)
« Advances In Knowledge Discovery and Management, Volume 7 »,
Series: Studies in Computational Intelligence,
Vol. 732, 2018, Springer.
ISBN: 978-3-319-65405-8, DOI: 10.1007/978-3-319-65406-5.

About this book

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 fields, including PhD and MSc students, and researchers from public or private laboratories.

The contributions included are extended and reworked versions of six of the best papers that were originally presented in French at the EGC’2016 conference held in Reims (France) in January 2016. This was the 16th edition of this successful conference, which takes place each year, and also featured workshops and other events with the aim of promoting exchanges between researchers and companies concerned with KDM and its applications in business, administration, industry and public organizations. For more details about the EGC society, please consult egc.asso.fr.

Table des matières

• Céline Alec, Chantal Reynaud-Delaître and Brigitte Safar:
  Combined Approach for Ontology Enrichment from Textual and OpenData. 1-21
• Amadou Fall Dia, Zakia Kazi-Aoul, Aliou Boly and Yousra Chabchoub:
  C-SPARQL Extension for Sampling RDF Graphs Streams. 19-38
• Thomas Guyet, Yves Moinard, René Quiniou and Torsten Schaub:
  Efficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks. 41-81
• Sathiya Prabhu Kumar, Sylvain Lefebvre, Raja Chiky and Olivier Hermant:
  Consistency-Latency Trade-Off of the LibRe Protocol: A Detailed Stud. 83-108
• Rabih Taleb, Rabah Mazouzi, Lynda Seddiki, Cyril de Runz, Kevin Guelton and Herman Akdag:
  A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer Based Estimations. 109-125
• Andrés Troya-Galvis, Pierre Gançarski and Laure Berti-Equille:
  A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. 127-145

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

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

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

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 https://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