Session A: Knowledge Discovery and Machine Learning | |
| 11.30 am - 11.35 am | Welcome and Introduction Kerstin Bach, Eyke Hüllermeier, Miltos Petridis, Michael Richter, and Rosina Weber |
| 11.35 am - 12.00 am | How to use Explanations for Knowledge Discovery Eva Armengol |
| 12.00 am - 12.25 am | Discovering Feature Weights for Feature-based Indexing of Qtables Chad Hogg, Stephen Lee-Urban, Bryan Auslander, and Hector Munoz-Avila |
| 12.25 am - 12:50 am | Instance-Based Label Ranking using the Mallows Model Weiwei Cheng and Eyke Hüllermeier |
| 12.50 am - 1.00 pm | Wrap up discussion Knowledge Discovery and Machine Learning |
| LUNCH (1.00 pm - 2.30 pm) | |
Session B: Case Base Maintenance and Quality | |
| 2.30 pm - 2.55 pm | Case Base Properties: A First Step Craig MacDonald, Rosina Weber, and Michael M. Richter |
| 2.55 pm - 3.20 pm | Requirements for Managing Quality in CBR Systems Annett Bierer and Marcus Hoffmann |
| 3.20 pm - 3.45 pm | Competence-Preserving Case-Deletion Strategy for Case Base Maintenance Mohamed Karim Haouchine, Brigitte Chebel-Morello, and Noureddine Zerhouni |
| 3.45 pm - 4.00 pm | Wrap up discussion |
The Workshop Schedule is also available in Portable Document Format.
topCase-based reasoning systems rely on a variety of techniques, such as data mining, machine learning, and knowledge discovery in order to build, maintain, and use their knowledge resources both for domain and system processing. In addition, these techniques rely on metrics for determining various kinds of similarity between aspects of domain and system knowledge. In continuation of the Workshop on Knowledge Discovery and Similarity at the ICCBR 2007, this workshop will bring together researchers and practitioners to explore issues and approaches for discovering, building, maintaining, and applying the essential underlying knowledge to build and support case-based reasoning systems. The workshop aims to provide an interdisciplinary forum for the exchange of new ideas and the discussion of future research directions.
We are interested in submissions on the topics related to discovering, building, maintaining, and applying CBR knowledge sources like textual, structural, temporal or image cases. Furthermore we encourage contributions in the context of multiple case base or agent based applications. Topics include, but are not limited to:
Our call for paper is also available in Portable Document Format.
topWe invite paper submissions including descriptions of works in progress, research contributions, and position statements. Submissions should attempt to address issues relating to knowledge discovery and similarity in case-based reasoning. 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. Authors' instructions along with LaTeX and Word macro files are available on the web at springer.de.
Submissions should be made through the workshop conference management system: KDS08@EasyChair. For further information do not hesitate to contact the workshop organizers.
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