Soft
Computing for Information Mining
A Workshop to be held at the
27th German Conference on Artificial Intelligence,
Aims
and Scope of the Workshop
Efficient tools and algorithms for knowledge discovery in large data
sets have been devised during the recent years. These methods exploit the
capability of computers to search huge amounts of data in a fast and effective
manner. More often than not, however, the data to be analyzed is imprecise and
afflicted with uncertainty. In the case of heterogeneous data sources such as
text and video, the data might moreover be ambiguous and partly conflicting.
Besides, patterns and relationships of interest are usually vague and match
with the data at best approximately.
Thus, in order to make the information mining process more robust or,
say, “human-like”, methods for searching and learning are needed that are
tolerant toward imprecision, uncertainty, and exceptions, have approximate
reasoning capabilities and are capable of handling partial truth. Properties of
the aforementioned kind are typical of “soft computing”, a collection of methodologies whose
cornerstones are fuzzy logic, neural networks, and evolutionary algorithms.
The workshop will focus on the support of the information mining process
by methods from soft computing, including the main constituents fuzzy logic,
neural networks, evolutionary algorithms and their hybrids as well as related
methodologies such as, e.g., rough set theory or probabilistic and evidential
reasoning. Topics of interest include but are not limited to the use of such
techniques in data preprocessing, handling of incomplete and heterogeneous
data, information mining methods (association analysis, classification and
prediction, clustering, regression, outlier analysis, ...), interactive and
online information mining, mining at multiple levels of abstraction, the
incorporation of background knowledge, database querying and ad hoc information
mining, visualization and presentation of information mining results.
Paper
Submission
Theoretical, methodological and application-oriented contributions are
equally welcome. Selected papers will be published in the form of a special issue of
the journal “Soft Computing”.
Potential authors are invited to submit an extended abstract of 2-4 pages detailing the problem under
consideration, the methods that have been used, and the results that have been
obtained. Please send abstracts in electronic form to Eyke Hüllermeier (see
contact below).
Schedule
Deadline for submissions (extended abstracts):
Acceptance notification:
Final manuscripts:
Contact
Eyke Hüllermeier, FB Mathematik und Informatik, Philipps-Universität Marburg,
Lahnberge, D-35032 Marburg, eyke@mathematik.uni-marburg.de
Program
Committee
Eyke Hüllermeier, FB Mathematik und Informatik, Philipps-Universität
Frank Klawonn, Department of Computer Science,
Rudolf Kruse, Department of Computer Science,
Ralf Mikut, Institute for Applied Computer Science, Forschungszentrum Karlsruhe
GmbH
Thomas
Runkler, Siemens AG, München