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1st Call for Papers:
Workshop on Uncertainty, Knowledge Discovery, and Similarity
in Case Based Reasoning
In conjunction with the 8th International Conference on Case Based Reasoning
Workshop Website: http://www.iis.uni-hildesheim.de/ukds09/
Conference: http://www.iccbr.org/iccbr09/
Paper submission deadline: *April 23, 2009*
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Knowledge discovery is a key element and challenge in the Case Based
Reasoning problem solving process. By its nature, knowledge discovery is
usually uncertain and in order to make effective use of discovered
knowledge, the types of uncertainty need to be determined and dealt with
using appropriate methods and techniques. Discoveries can be naturally
imprecise, stochastic, fuzzy and subject to prescribed tolerances.
Uncertainty can also affect the useful application of knowledge
discoveries in the CBR cycle and can raise issues of confidence,
possibly making the ensuing reasoning unconvincing to its end users.

Case-based reasoning must face the challenge to deal with uncertain,
incomplete, and vague information, which leads to the need of suitable
methods for modeling and reasoning under uncertainty, appropriately
complemented by tools for learning and knowledge discovery. Over the
past years there has been increased interest in formalizing parts of the
CBR methodology within different frameworks of reasoning under
uncertainty, and in building hybrid approaches by combining CBR with
methods of uncertain and approximate reasoning and soft computing.

The objective of the workshop is to provide an opportunity for
exchanging ideas related to the application of various techniques of
uncertainty management, knowledge discovery, and similarity in CBR. The
workshop aims at providing a forum for the discussion of recent advances
in this research field and to offer an opportunity for researchers and
practitioners to identify new promising research directions.

The organizers welcome contributions on the use of principled methods
for reasoning under uncertainty, knowledge discovery, and similarity,
such as:
* Probabilistic reasoning and Bayesian methods,
* Fuzzy sets, possibility theory, evidence theory,
* Rough sets and information theory,
* Neural networks and evolutionary computation,
* Machine learning and data mining algorithms

in case-based reasoning, including but not limited to:
* Case and knowledge representation, acquisition, and modeling,
* Maintenance and management of CBR systems,
* Case indexing and retrieval,
* Similarity assessment and adaptation
* Flexible similarity measures,
* Similarity measures for complex, imprecise and heterogeneous case
domains,
* Maintenance of corporate memories,
* Instance-based and case-based learning,
* Confidence
* CBR applications.
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Submissions
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We encourage submissions of papers that report on advances in these core
areas. In addition to full papers we also encourage submissions
presenting more preliminary results and discussing open problems, for
example, dealing with insights or important open problems for future
research derived from the construction and use of applications.
Correspondingly, two types of contributions will be solicited, namely
short communications (short talks) and full papers (long talks).

Workshop papers should be submitted in Springer LNCS format, which is
the format required for the final camera ready copy, with a maximum of
10 pages for full and 6 pages for short papers. Authors' instructions
along with LaTeX and Word macro files are available on the web at:
http://www.springer.de/comp/lncs/authors.html
Submissions should be made through the workshop conference management
system EasyChair: http://www.easychair.org/conferences/?conf=ukds09.
For further information do not hesitate to contact the workshop organizers.
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Deadlines and Dates
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- April 23, 2009: Deadline for workshop paper submission
- May 11, 2009: Notification of acceptance for workshop papers
- May 29, 2009: Final camera ready copies due
- July 21, 2009: Workshops held at ICCBR 2009 (in parallel)
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Workshop Organizers & Committee
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- Kerstin Bach, Dept. of Computer Science, University of Hildesheim,
Germany
- Eyke Hüllermeier, Dept. of Mathematics and Computer Science,
University of Marburg, Germany
- Miltos Petridis, University of Greenwich, UK
- Michael Richter, Dept. of Computer Science, University of Calgary,
Canada
- Rosina Weber, The iSchool at Drexel University, Philadelphia, USA