| UNI / FIN / IWS Arbeitsgruppe Computational Intelligence |
|
Old News |
Welcometo the web pages of the Computational Intelligence working group Our MissionOur Computational Intelligence group, led by Rudolf Kruse, conducts research into methods of Artificial Intelligence. Currently, our main focus is on new methods of Intelligent Data Analysis. In research, we currently frequently apply neural networks, fuzzy systems, evolutionary algorithms, Bayesian networks and approximate reasoning. Those techniques are generally used for finding robust, convenient and inexpensive solutions to real-world application problems. In teaching we offer a variety of CI-based, well-coordinated lectures, exercises, seminars and internships on subfields of Computational Intelligence. For this purpose, we use books written by our group as well as software authored by our group. Furthermore, our group is actively participating in technology transfer using exposition stands and numerous successful industry projects. Moreover, we offer research management capabilities in the CI area -- especially featuring the organization of international conferences, editorial activities for international journals as well as research councils and academic organizations. News & Announcements22.03.-26.03.2010Christian Borgelt will give his lecture on "Frequent Pattern Mining" en bloc from 22nd to 26th of March, 2010. Further information can be obtained from http://www.borgelt.net/teach/fpm.
18.07.-23.07.2010Prof. Kruse will be giving a keynote at the 2010 IEEE World Congress of Computational Intelligence in Barcelona. This
biennial conference will host around 2000 international researchers.
28.06.-02.07.2010The 13. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)
will take place in Dortmund. There are typically 400 researchers participating in this international conference. Prof. Kruse is head of the program
committee.
News & Announcements from 2009 ---
16.12.2009![]() AI-2009 Georg Ruß gave a talk on Feature Selection for Wheat Yield Prediction at the SGAI AI-2009 in Cambridge, UK. The respective proceedings article is available from our publication database.
October 29-31, 2009Christian Moewes successfully participated in the 2nd International Workshop of the ERCIM Working Group on Computing & Statistics in Limassol, Cyprus.
The ERCIM Working Group (the European Research Consortium for Informatics and Mathematics) aims to support collaborative work within the European research community and to increase co-operation with European industry.
The presentation of Christian Moewes about "Learning fuzzy rules with arbitrary reference functions using GSVM" catched on with the participants of the track Fuzzy Statistical Analysis.
An extended version of his submitted abstract for the workshop will probably be published as article in a special issue of Computational Statistics & Data Analysis.
15.09.2009--18.09.2009Matthias Steinbrecher presented his adjacency-matrix-based analysis for so-called cooccurrence graphs at the KI 2009 at Paderborn.
September 2009Matthias Steinbrecher visited the Constance University workgroup of Bioinformatics and Information Mining where the data mining suite
KNIME is developed to equip this software with association rules visualization methods that were introduced by our workgroup.
September 2009Georg Ruß will organize a workshop on Data Mining in Agriculture, co-hosted with the Industrial Conference on Data Mining (ICDM'2010). He was invited by Petra Perner, head of ibai-Institut.
September 2009Georg Ruß completed a research exchange trip to Australia, which was planned in the scope of our DAAD/Go8 project. He visited the research group around Saman Halgamuge at the University of Melbourne. We currently have a German master's student, Kristian Löwe, for a half-year exchange at the University of Melbourne.
August 2009The book Graphical Models: Representations for Learning, Reasoning and Data Mining
of our working group will appear, in collaboration with Christian Borgelt. Link to our publication database: Graphical Models.
23.07.--25.07.2009Georg Ruß presented his poster on Visual Data Mining of Agriculture Data at the MLDM 2009. His poster led to further insights
into his research topics and could answer numerous questions on the topic of precision agriculture. Further details can be found at his personal research blog.
20.07.--22.07.2009Georg Ruß was awarded with a VIP award at the ICDM 2009. His work on
Data Mining of Agricultural Yield Data: A Comparison of Regression Models yielded lots of personal correspondence and numerous answers for some of the
questions that were posed could be found in discussions. Further details can be found at his personal research blog.
20.07.--24.07.2009Matthias Steinbrecher presents his work on so-called cooccurrence graphs at the biennial IFSA 2009 at Lisbon.
10.07.2009Sebastian Nusser has successfully defended his dissertation on
Robust Learning in Safety-Related Domains. The work's reviewers are Prof. Rudolf Kruse, Thomas Runkler (Siemens AG,
München) and Christian Borgelt (ECSC, Mieres, Spanien).
05.07.-08.07.2009Christian Moewes presents his work about "An empirical comparison of recent fuzzy rule generators based on kernel machines" at the EURO 2009. Matthias Steinbrecher participates in EURO 2009 as Session Chair
of the Session on "Business Intelligence Applications".
03.07.2009Rudolf Kruse and his doctorate Jörg Beyer presented the Paper
Ensemble Learning for Multi-Source Information Fusion
at the ECSQARU
conference in Verona from 1.7.-3.7.09. The ECSQARU Conferences are, every two years, a major forum for advances in the theory and practice of
reasoning under uncertainty. Prof. Kruse organized the first ECSQARU
together with P. Siegel, France, in Marseille in 1991. The next ECSQARU will
take place in Ireland.
29.06.2009There are open positions at [[http://www.usa.siemens.com/en/research/ |
Siemens Corporate Research]] for internships and diploma/master's theses in
Princeton, NJ, USA. The work is focused around large scale decision support
systems, with the aid of modern methods from statistics, machine learning,
data mining and visualisation. Prospective students may contact our staff
members. Further information: siemens-internship2009.pdf.
15.06.2009Prof. Kruse gave an invited talk on "Visual Data Analysis with Computational
Intelligence Methods" at the German-Polish DFG-workshop in Kraków. He was
invited by the organisers Nagel (Aachen) und Borkowski (Warschau)
11.06.2009In May 2009, our group has published a book chapter. In Post-Mining of Association Rules our chapter titled From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness appeared. In this article, we tackle the discovery of relevant and interesting association rules, where the actual rule mining is not changed. We are only concerned with the post mining step which ensues the association rule learning step. The book's table of contents is available from the publisher.
18.05.-20.05.2009Christian Moewes participated in the COST Action IC0702 Spring School 2009 at the European Centre for Soft Computing in Mieres (Asturias), Spain.
In advance, he was selected for one of the 30 grants which were given to international PhD students related to the COST Action IC0702.
This year's spring school covered the topic Reasoning and Decision Making under Uncertainty and Imprecision.
15 international lecturers gave interesting presentations to a young audience of approximately 30 PhD students.
Whilst those three days, Christian had the great opportunity to get into contact with various established postdoctoral researchers and professors working on similar research problems.
He learned about some new concepts in both soft computing and statistics and met old acquaintances from former conferences and the university as well.
19.5.2009Prof. Kruse participated in the second session of the strategic board of the
Austrian Software Competence Center Hagenberg (Linz)
teil. In addition to nine Austrian researchers, Prof. Broy (München) and Prof. Kruse
(Magdeburg) are council members.
14.05.-17.05.2009Matthias Steinbrecher participated in
RoGERs 2009 in
Sibiu/Hermannstadt in Romania. He gave a talk on Mining Temporal Patterns in Industry
05.05.2009Kent Steer, a PhD student of the Mechatronics Research Group, led by Prof. Saman Halgamuge at the University of Melbourne, will perform his research work in our working group. He is doing his work under the DAAD/Go8 exchange scheme which our working group has been granted.
13.03.-18.03.2009Georg Ruß is actively participating in the biennial International Federation of Classification Societies Conference, which is held in conjunction with this year's GfKl conference at the
TU Dresden teil. He presents his work on the classification of soil heterogeneity indicators.
03.03.-08.03.2009Our group presents the Intelligent Information Miner at the CeBIT 2009, Hannover, Germany.
23.02.-27.02.2009Christian Borgelt's lecture on Frequent Pattern Mining will take place from 23.02.-27.02.2009.
01.01.2009Prof. Kruse has been re-selected as Associate Editor of the IEEE Transactions on Fuzzy Systems. In 2009 he is, among others, associate editor of Fuzzy Sets and Systems, the Soft Computing Journal, the Journal of Applied Logic, Statistics and Computing and Mathware and Soft Computing.
19.12.2008Steffen Kempe defended his dissertation on 19.12.2008. His thesis topic is (German) Häufige Muster in zeitbezogenen Daten. His reviewers are Prof. Dr. Rudolf Kruse (Uni Magdeburg), Prof. Dr. Gholamreza Nakhaeizadeh (Universität Karlsruhe) and PD Dr. Christian Borgelt (European Centre for Soft Computing, Spain).
11.12.2008Georg Ruß participated in the AI-2008 conference in Cambridge, England. He presented his work on 'Visualization of Agriculture Data Using Self-Organizing Maps'. Furthermore he was given the chance to present his PhD work at the FAIRS2008 workshop to an interesting and interested audience. His work and the presentation slides are available via his research blog. The peer-reviewed publication can be acquired from our publication database: Visualization of Agriculture Data Using Self-Organizing Maps.
|