(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 18, 2003: Submission Deadline,
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) [EMAIL PROTECTED]
João Gama, LIACC / U. of Porto (co-chair) [EMAIL PROTECTED]
Carlos Bento, CISUC / U. of Coimbra (co-chair) [EMAIL PROTECTED]
Program Committee:
Arlindo Oliveira, INESC-ID / IST (Chair)
João Gama, LIACC / U. of Porto (co-chair)
Carlos Bento CISUC / U. of Coimbra (co-chair)
Rajesh Parekh, Blue Martini
Fernando Moura Pires,U. of Évora
Mário Nascimento,U. of Alberta
Lee Giles, Penn State University
Luís Torgo, LIACC/U. of Porto
