Towards an Iterative Classification Based on Concept Lattice
In this paper, we propose a generic description of the concept lattice as classifier in an iterative recognition process. We also present the development of a new structural signature adapted to noise context. The experimentation is realized on the noised
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Subseries of Lecture Notes in Computer Science
4923
Sadok Ben Yahia Engelbert Mephu Nguifo Radim Belohlavek (Eds.)
Concept Lattices and TheirApplications Fourth International Conference, CLA 2006 Tunis, Tunisia, October 30–November 1, 2006 Selected Papers
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Sadok Ben Yahia El Manar University of Tunis Department of Computer Science Campus Universitaire, 1060 Tunis, Tunisia E-mail: [email protected] Engelbert Mephu Nguifo Université d’Artois–IUT de Lens Lens Computer Science Research Centre, CRIL CNRS FRE 2499 Rue de l’Université SP 16, 62307 Lens Cedex, France E-mail: [email protected] Radim Belohlavek State University of New York at Binghamton P.O. Box 6000, Binghamton, NY 13902–6000, USA E-mail: [email protected] and Palacký University Department of Computer Science Tomkova 40, 779 00 Olomouc, Czech Republic
Library of Congress Control Number: 2008923361 CR Subject Classification (1998): H.3.1, H.3.3, H.2.8 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-78920-0 Springer Berlin Heidelberg New York 978-3-540-78920-8 Springer Berlin Heidelberg New York
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Preface
This volume contains selected papers from CLA 2006, the 4th International Conference on Concept Lattices and Their Applications. CLA 2006 was held in Hammamet, Tunisia, from October 30 to November 1, 2006, and was organized jointly by the El-Manar University (Computer Science Department, Faculty of Sciences), Tunis, and the Universit´e Centrale, Tunis. The main areas of interest relevant to CLA include formal concept analysis (FCA), foundations of FCA, mathematical structures related to FCA, relationship of FCA to other methods of data analysis, visualization of data in FCA, and applications of FCA. The conference received 41 submitted papers. This volume contains 18 papers (13 long, 5 short) selected from the submitted papers which were accepted and presented at the conference (selection rate 0.44). Contributions to CLA 2006 were refereed by at least three reviewers on the basis
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