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CALL FOR PAPERS
ADMKD'2005
1st ADBIS Workshop on Data Mining and Knowledge Discovery
xxxxx September 2005
Tallinn, Estonia
to be held in conjunction with
9th East-European Conference on Advances in Databases
and Information Systems ADBIS'2005
http://www.cs.put.poznan.pl/admkd05
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OBJECTIVES
Data mining, also referred to as knowledge discovery in databases,
is a process of finding new, interesting, previously unknown,
potentially useful, and ultimately understandable patterns from very
large volumes of data. Data mining is a discipline which brings together
database systems, statistics, artificial intelligence, machine learning,
parallel and distributed processing, visualization, and other disciplines.
Data mining owes its popularity to straight applicability of data mining
results in decision support in many areas, e.g. in medicine, retail,
telecommunication, banking, insurance, and many others. Data mining
products are now commercially available and numerous industrial applications
are being developed.
ADMKD'2005 is the first workshop on data mining and knowledge discovery
to be held in conjunction with the East-European Conference on Advances
in Databases and Information Systems ADBIS. The Workshop is started as a
forum to encourage researchers and practitioners to discuss and investigate
data mining research and implementation issues. The primary purpose of the
Workshop is to bring together scientists to share experience in developing
and deploying data mining systems. In particular, we encourage papers
concerning discovery of knowledge from collections of complex data.
Position papers are also welcomed.
TOPICS OF INTEREST
We invite researchers and practitioners who are developing algorithms, systems,
and applications, to share their results, ideas, and experiences. Submissions
are sought that cover foundations of data mining, extend data mining to new areas,
or present applicative technologies. The topics of the Workshop include, but are
not limited to, the following:
* Data mining system architectures
* Integration of data mining, database systems, and data warehouses
* Mining text, multimedia, semi-structured, and temporal data
* Mining data streams
* Mining high-dimensional data
* Data and knowledge model representations
* Pre-processing of data, reduction, transformation, cleansing,
and feature extraction
* Post-processing of data mining results
* Performance benchmarks
* Experience in building and deploying data mining applications
* Languages and interfaces for data mining
* Foundations of data mining
* Data mining algorithms in traditional and novel areas
* Security and privacy protection in data mining
* Data mining applications in medicine, e-commerce, Web, finance, marketing,
telecommunications, etc.
* Parallel and distributed data mining
LOCATION
IMPORTANT DATES
* Paper Submission: 19.05.2005
* Notification of Acceptance: 06.06.2005
* Camera-Ready Copy Due: 20.06.2005
* Workshop Date: xxxxxxxxxx
SUBMISSION GUIDELINES
The workshop calls for research papers reporting original and previously
unpublished results. All paper submissions will be handled electronically.
Papers should be submitted via e-mail to admkd05@cs.put.poznan.pl,
submission of abstracts is not necessary. Each paper will be carefully
reviewed by program committee members. Papers should be submitted in Postscript
or PDF according to the LNCS format. Authors instructions can be found at
http://www.springer.de/comp/lncs/authors.html. Papers should not exceed 10 pages
in final camera-ready format. For further information regarding paper submission
please send inquiries to admkd05@cs.put.poznan.pl.
WORKSHOP OFFICERS
* General Chair
Tadeusz Morzy, Poznan University of Technology (Poland)
* Program Chairs
Marek Wojciechowski, Poznan University of Technology (Poland)
Mikolaj Morzy, Poznan University of Technology (Poland)
PROGRAM COMMITTEE