Call for Papers
4th International Workshop on Extraction of Knowledge
from Databases (EKDB'03)
part of the
11th Portuguese Conference on Artificial Intelligence (EPIA'03)
http://www.di.uevora.pt/epia03/
December 4-7, 2003
Beja, Portugal
Aims and Scope
The objective of the workshop is to discuss methods for non-trivial extraction of knowledge which is implicit in existing data and which can be described in a high-level representation so as to facilitate interpretation. Techniques from the machine learning, statistics and database fields are highly relevant for this task.Current real-world learning problems involve very large and complex data sets. Although a large number of techniques has been developed and applied, significant challenges remain, related with the design and analysis of methologies to handle this type of problems.
The ability to incorporate new information and to react to concept drift, are challenging topics for different learning communities. One of the goals of this workshop is to promote an open discussion on these and related topics between different communities that are interested in these problems, namely the artificial intelligence, control, statistics and database communities. EKDB-03 follows the successful workshops EKDB-01, EKDB-99 and EKDB-97.
Workshop format
The workshop will be comprised of an invited talk, presentation and discussion sessions. The invited talk, by Prof. Pedro Domingos (Univ. of Washington) will address issues of high relevance to the KDD community. The presentation sessions will consist of paper presentations followed by a discussion panel. Time will not be assigned for individual discussion of each paper. Instead, discussion of paper topics will take place at the end of each session.Submission Instructions
Original contributions are solicited in all areas related to Extraction of Knowledge from Databases, including but not limited to:- Machine Learning Algorithms
- Statistical Methods
- Mining Biomedical, Business, Web and Scientific Data
- Data Mining and Data Warehousing
- Incremental, Online and Real-time Learning Algorithms
- Computational Learning Theory
- Preprocessing and Postprocessing for Data Mining
- Security and Privacy Issues
- Temporal Data Mining
- Mining Text Data
- Mining Large Databases: Algorithms and Scaling Issues
- Query Languages
Important Dates
May 30, 2003: Submission Deadline (extended),July 20, 2003: Author Notification,
September 13, 2003: Final versions due,
December 4-7, 2003: Workshop and Conference
Submission Instructions
Submissions must follow the guidelines specified in the main web page of the conference (see http://www.di.uevora.pt/epia03/). In particular, the reviewing process is double blind. Authors should remove names from the submitted papers, and should take reasonable care that their identity is disguised. References to own work can be included in the paper, but should be referred to in the third person.Authors should also prepare their submissions according with the instructions given by Springer: http://www.springer.de/comp/lncs/authors.html
Even when the submissions are made in PDF (preferable) or PS, we encourage authors to prepare their papers in TeX or LATEX 2e because this will be the only acceptable source formats for the camera ready final versions.
Organizing Committee
Workshop Chairs:
| Arlindo Oliveira | INESC-ID / IST (Chair) | aml@inesc-id.pt |
| João Gama | LIACC / U. of Porto (co-chair) | jgama@liacc.up.pt |
| Carlos Bento | CISUC / U. of Coimbra (co-chair) | bento@dei.uc.pt |
Program Committee:
| Alípio Jorge | LIACC / U. of Porto |
| Arlindo Oliveira | INESC-ID / IST (Chair) |
| Carlos Bento | CISUC / U. of Coimbra (co-chair) |
| Fernando Moura Pires | U. of Évora |
| João Gama | LIACC / U. of Porto (co-chair) |
| Lee Giles | Penn State University |
| Luís Torgo | LIACC/U. of Porto |
| Mário Nascimento | U. of Alberta |
| Pieter Adriaans | U. of Amsterdam |
| Rajesh Parekh | Blue Martini |
This document was translated from LATEX by HEVEA.