<p><p>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 Fr
Advances in Knowledge Discovery and Management: Volume 8
✍ Scribed by Bruno Pinaud, Fabrice Guillet, Fabien Gandon, Christine Largeron
- Publisher
- Springer International Publishing
- Year
- 2019
- Tongue
- English
- Leaves
- 193
- Series
- Studies in Computational Intelligence 834
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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 of Contents
Front Matter ....Pages i-xviii
Front Matter ....Pages 1-1
Model Based Co-clustering of Mixed Numerical and Binary Data (Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi)....Pages 3-22
Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables (Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi)....Pages 23-41
Front Matter ....Pages 43-43
Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity (Julien Hay, Tim Van de Cruys, Philippe Muller, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait-Elhara)....Pages 45-60
Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models (Gildas Tagny Ngompé, Sébastien Harispe, Guillaume Zambrano, Jacky Montmain, Stéphane Mussard)....Pages 61-86
Front Matter ....Pages 87-87
Discriminant Chronicle Mining (Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe)....Pages 89-118
A Semantic-Based Approach for Landscape Identification (Anne Toulet, Emmanuel Roux, Anne-Élisabeth Laques, Éric Delaître, Laurent Demagistri, Isabelle Mougenot)....Pages 119-136
Front Matter ....Pages 137-137
Measuring the Expertise of Workers for Crowdsourcing Applications (Jean-Christophe Dubois, Laetitia Gros, Mouloud Kharoune, Yolande Le Gall, Arnaud Martin, Zoltan Miklos et al.)....Pages 139-157
Trust Assessment for the Security of Information Systems (Benjamin Costé, Cyril Ray, Gouenou Coatrieux)....Pages 159-181
Back Matter ....Pages 183-183
✦ Subjects
Engineering; Computational Intelligence
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