Septièmes post-actes

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