Machine Learning and Knowledge Discovery in Databases European C
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research pap
- PDF / 19,416,804 Bytes
- 749 Pages / 439.37 x 666.142 pts Page_size
- 56 Downloads / 201 Views
Toon Calders Floriana Esposito Eyke Hüllermeier Rosa Meo (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2014 Nancy, France, September 15–19, 2014 Proceedings, Part I
123
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
8724
Toon Calders Floriana Esposito Eyke Hüllermeier Rosa Meo (Eds.)
Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2014 Nancy, France, September 15-19, 2014 Proceedings, Part I
13
Volume Editors Toon Calders Université Libre de Bruxelles, Faculty of Applied Sciences Department of Computer and Decision Engineering Av. F. Roosevelt, CP 165/15, 1050 Brussels, Belgium E-mail: [email protected] Floriana Esposito Università degli Studi “Aldo Moro”, Dipartimento di Informatica via Orabona 4, 70125 Bari, Italy E-mail: [email protected] Eyke Hüllermeier Universität Paderborn, Department of Computer Science Warburger Str. 100, 33098 Paderborn, Germany E-mail: [email protected] Rosa Meo Università degli Studi di Torino, Dipartimento di Informatica Corso Svizzera 185, 10149 Torino, Italy E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-662-44847-2 e-ISBN 978-3-662-44848-9 DOI 10.1007/978-3-662-44848-9 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014948041 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in ist current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
Data Loading...
