Intelligent Data Analysis
An International Journal


ISSN: 1088-467X
Volume 15; 6 issues
Institutional subscription (print and online) for 2011: €1037 / US$1412 (including postage and handling)
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Status Report: Last issue (volume 15:3) online on 10 May 2011
Next issue (volume 15:4) scheduled for July 2011

Aims and Scope
Editorial Board
Submission of Manuscripts

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Founding Editor-in-Chief
A. Famili
P.O. Box 46117
2339 Ogilvie Road
Ottawa, ON K1J 9M7

Editorial Board
F. Bergadano, Department of Computer Science, University of Torino, Torino, Italy F. Klawon, Department of Computer Science, Ostfalia University of Applied Sciences, Wolfenbuettel, Germany
P. Berka, Department of Information and Knowledge Engineering, University of Economics, Prague, Czech Republic M. Kubat, Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA
J.A.G. Bernal, Instituto Nacional de Astrofísica Óptica y Electrónica Ciencias Computacionales, Puebla, Mexico X. Liu, Department of Information Systems & Computing, Brunel University, Uxbridge, Middlesex, United Kingdom
H. Blockeel, Department of Computer Science, Katolik University, Leuven, Belgium S. Matwin, Department of Computer Science, University of Ottawa, Ottawa, Ontario, Canada
H. Boström, Stockholm University, Kista, Sweden H. Motoda, Asian Office of Aerospace Research and Development, Air Force Office of Scientific Research, Tokyo, Japan , Osaka University, Osaka, Japan
L. De Raedt, K.U.Leuven, Dept. of Computer Science , Heverlee, Belgium C. Ordonez, Department of Computer Science, University of Houston, Houston, USA
A. Feelders, Institute of Information & Computing Sciences, University of Utrecht, Utrecht, The Netherlands T. Palpanas, University of Trento, Povo, Italy
A.A. Freitas, Computing Laboratory, University of Kent at Canterbury, Canterbury, United Kingdom J.M. Peña, Faculdad de Informática, Universidad Politécnica de Madrid, Madrid, Spain
J. Gama, Artificial Intelligence and Computer Science Lab., University of Porto, Porto, Portugal J. Pei, Simon Fraser University, Burnaby, BC, Canada
M. Gams, Jozef Stefan Institute, Intelligent Systems Department, Ljubljana, Slovenia G. Prabhakar, Software Engineering, Somerset, NJ, USA
G.C. Garriga, Université Pierre et Marie Curie, Paris, France C. Rouveirol, Institut Galilée, Université Paris-Nord, Villetaneuse, Paris, France
L. Hall, Department of Computer Science and Engineering, University of South Florida, Tampa, FI, USA M. Sugiyama, Tokyo Institute of Technology, Tokyo, Japan
M. Hilario, CUI - University of Geneva, Geneva, Switzerland M. Szczuka, Institute of Mathematics, Warsaw University, Warsaw, Poland
A.G. Hoffmann, School of Computer Science & Engineering, University of South Wales, Sydney, Australia A. Vaisman, Universidad de Buenos Aires, Argentina
L. Holder, School of Electrical Engineering & Computer Science Washington State University, Pullman, WA, USA M. Vazirgiannis, Department of Informatics, Athens University of Economics & Business, Athens, Greece
J. Hollmén, School of Science and Technology, Aalto, Finland E. Vityaev, Russian Academy of Science, Novosibirisk, Russia
E.R. Hruschka Jr., Computer Science Dept., Federal University of Sao Carlos (DC-UFSCar), São Carlos, Brazil J.T.L. Wang, Department of Computer and Information Science, New Jersey Institute of Technology University Heights, Newark, NJ, USA
E. Jiang, University of San Diego, San Diego, CA, USA R. Weber, University of Chile, Santiago, Chile
W. Keong Ng, School of Computer Engineering, Nanyang Technological University, Singapore Z-H. Zhou, Nanjing University, Nanjing, China
S.H. Kim, Division of Applied Mathematics, KAIST, Daejeon, South Korea 

Submission of Manuscripts 
See instructions to authors.
Aims and Scope 
Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains. Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, research and the remaining 30% containing more theoretical research.


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