Computational Intelligence in Intelligent Data Analysis - Christian Moewes.pdf

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Studies in Computational Intelligence
Editor-in-Chief
Prof. Janusz Kacprzyk
Systems Research Institute
Polish Academy of Sciences
ul. Newelska 6
01-447 Warsaw
Poland
E-mail: kacprzyk@ibspan.waw.pl
445
For further volumes:
http://www.springer.com/series/7092
Christian Moewes and Andreas Nürnberger (Eds.)
Computational Intelligence
in Intelligent Data Analysis
ABC
Editors
Christian Moewes
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Magdeburg
Germany
Andreas Nürnberger
Faculty of Computer Science
Otto-von-Guericke University Magdeburg
Magdeburg
Germany
ISSN 1860-949X
e-ISSN 1860-9503
ISBN 978-3-642-32377-5
e-ISBN 978-3-642-32378-2
DOI 10.1007/978-3-642-32378-2
Springer Heidelberg New York Dordrecht London
Library of Congress Control Number: 2012943592
c Springer-Verlag Berlin Heidelberg 2013
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Preface
Complex systems and their phenomena are ubiquitous as they can be found in
biology, finance, the humanities, management sciences, medicine, physics and sim-
ilar fields. For many problems in these fields, there are no conventional ways to
mathematically or analytically solve them completely at low cost. On the other hand,
nature already solved many optimization problems efficiently. Computational intel-
ligence attempts to mimic nature-inspired problem-solving strategies and methods.
These strategies can be used to study, model and analyze complex systems such
that it becomes feasible to handle them. Key areas of computational intelligence are
artificial neural networks, evolutionary computation and fuzzy systems. This vol-
ume contains a collection of papers dealing with computational intelligence in data
analysis.
Nowadays, as more and more data storage gets affordable with increasing band-
width and decreasing production costs of RAM or sensors, the amount of data is
rapidly growing, even faster than Moore predicted it for the speed of computers.
This is especially the case for complex systems as they are data intensive. Storing
the data only, however, does not solve real-world problems we might face. In fact,
the more data is stored, the harder it is for human beings to see useful regularities or
patterns. Therefore the research field of
data analysis
has been created and devel-
oped beautiful tools to find patterns in a huge amount of data. When these methods
are furthermore enhanced by human ideas and concepts that ensure interpretability,
soundness and applicability, we talk about
intelligent data analysis.
As only a few researchers in that field, Rudolf Kruse has contributed in many
important ways to the understanding, modeling and application of computational
intelligence methods. In l996 he was appointed to a full professor position in the
Faculty of Computer Science at the Otto-von-Guericke University Magdeburg, Ger-
many. There he is the head of the computational intelligence group. Rudolf Kruse
has co-authored more than 30 books and 330 technical papers. He has the compe-
tence to develop beautiful theories which are typically applied to solve real-world
problems.

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