Call for Paper Conference

http://sadm09.isti.cnr.it/PC.html


http://www.cs.umbc.edu/ICDM09

Knowledge Discovery is in general described as a process of automatic extraction of new knowledge from data. However, the characteristics of the data, their semantics, the knowledge that already exists about the data, and the context of the application has rarely been considered in the discovery process. Semantic and reasoning aspects may intervene in several steps of knowledge discovery, but how these aspects interact within the process, and the forms that this can take, is an issue that has been given little attention so far.
In data pre-processing, semantic aspects may help in (1) identifying source data of interest, (2) enriching the data with additional domain information, and (3) generating more meaningful and human understandable patterns, once the generated patterns are directly related to the input data. During the mining task, semantics may be used as constraints, thus allowing (1) search space reduction, (2) pattern pruning, and (3) the development of more efficient algorithms. Semantics may intervene in the post-processing step, when helping in the explanation of large amounts of patterns, typically difficult to interpret.
The aim of the workshop is to bring together researchers working on all context, semantic and reasoning aspects in Data Mining, developing techniques to embed semantics in the knowledge discovery process, and taking into account ontological and reasoning issues.

IMPORTANT DATES:
– Submission Deadline: 17 July 2009
– Notication acceptance: 8 September 2009
– Camera-ready: 28 September 2009
– Workshop day 6 December 2009

*BEST PAPER AWARD*

The Workshop organizers will select the best paper of the workshop. The selected Best Paper will be recommended for publication in a special issue of the International Journal of Knowledge and Information Systems (KAIS), edited by Springer.
Topics of Interest:
The workshop will seek submissions where semantic information plays an explicit role in the knowledge discovery process. The intent of the workshop is to bring together researchers and practitioners interested in semantic aspects in data mining from a wide range of possible data mining subareas, including: web mining, medical data mining, spatio-temporal data mining, ubiquitous knowledge discovery, and privacy-preserving data mining.
The aim of the workshop is to receive contributions in the following topics, which are not exclusive:
– Techniques to embed semantics into the discovery process – Semantics in data pre-processing and post-processing – Semantic-based pruning – Knowledge-based data mining algorithms – Semantic-based techniques for feature selection – Ontologies and data pre-processing – Ontology-based evaluation of discovered patterns – Data Mining Query Languages – Constraint-based data mining – Semantics for Knowledge representation, interpretation, and reasoning – Semantics in spatial and spatio-temporal data mining – Conceptual modeling and data mining – Semantic-based KDD processes and frameworks – Techniques using semantics for domain-driven data mining – Semantics in ubiquitous data mining – Semantics in biological data mining – Semantics for uncertainty handling in data mining – Semantics in Privacy-Preserving Data Mining – Semantics in Social Network Data Mining
Organization:
Chairs:
Dr. Vania Bogorny,
Instituto de Informatica,
Universidade Federal do Rio Grande do Sul,
E-mail: vbogorny@inf.ufrgs.br

Dr. Hui Xiong,
Management Science and Information Systems Department,
Rutgers, the State University of New Jersey,
Email: hxiong@rutgers.edu

Dr. Chiara Renso,
Instituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
KDD Laboratory, ISTI-CNR Pisa, Italy, CNR di Pisa
Via G. Moruzzi 156124 PISA -Italy
Email: chiara.renso@isti.cnr.it

Program Committee (to be completed):
1. Luis Otavio Alvares, Universidade Federal do Rio Grande do Sul, Brazil
2. Ronnie Alves, Institute of Developmental Biology and Cancer, Faculte des Sciences, France
3. Miriam Baglioni, Department of Computer Science, University of Pisa, Italy
4. Jean-Francois Boulicaut, INSA, University of Lyon, France
5. Toon Calders, Eindhoven Technical University, The Netherlands
6. Ivan Janciak, University of Wien, Austria
7. Jose Antonio Fernandes de Macedo, EPFL, Switzerland
8. Vipin Kumar, University of Minnesota, USA
9. Donato Malerba, University of Bari, Italy
10. Stanley Oliveira, Embrapa Informatica -Sao Paulo, Brazil
11. Giuseppe Psaila, University of Bergamo, Italy
12. Solange Rezende, Universidade Federal de So Carlos, Brazil
13. Yannis Theodoridis, University of Pireus, Greece
14. Monica Wachowicz, UPM, Madrid, Spain
15. Mohammed Zaki, Rensselaer Polytechnic Institute, USA

Submission Guidelines and Review Process:
High quality research papers in the relevant areas are invited. Original papers exploring new directions will receive especially careful consideration. Papers that have already been accepted or are currently under review for other conferences or journals will not be considered.
All accepted workshop papers will be included in the IEEE ICDM Workshop Proceedings, to be published by the IEEE Computer Society Press. Therefore, at least one author of the accepted paper must register to attend the workshop. Paper submissions should be limited to a maximum of 8 pages in PDF format, in the IEEE 2-column style (see the IEEE Computer Society Press Proceedings Author Guidelines at http://www.computer.org/portal/pages/cscps/cps/nal/icdm06.xml).
All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to workshop topics, originality, significance, and clarity. We will follow the double blind review process. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. Please use the Submission Form on the ICDM'09 website to submit your paper.