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.

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:

• Foundations of data mining
• 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
• Parallel and distributed data mining
• Data and knowledge model representations
• Languages and interfaces for data mining
• Data mining algorithms in traditional and novel areas
• Security and privacy protection in data mining
• 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
• Data mining applications in medicine, e-commerce, Web, finance, marketing, telecommunications, etc.

The Workshop will be held in Tallinn, Estonia. The Workshop sessions will take place at the Institute of Cybernetics at Tallinn University of Technology.

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 in the LNCS format (for instructions see www.springer.de/comp/lncs/authors.html). Accepted papers will be published in local proceedings. 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.

The enhanced version of the selected papers published in the workshop will be invited for publication in a special issue on "Data Mining and Knowledge Discovery" in the Foundations of Computing and Decision Sciences (http://www.cs.put.poznan.pl/fcds/index.htm).

Normal registration fee must be payed before August 22, 2005. All transfers must be made by August 22, 2005. After this date to September 1, 2005, registrants will pay late registration fees. We will acknowledge payments within 5 days of receiving them. For details regarding payment procedure please refer to main ADBIS'2005 website at http://www.cs.ioc.ee/adbis2005/index.php?page=22.

	before Aug.22	Aug.22 to Sep.1	on site
Workshop fee	110 EUR	120 EUR	130 EUR
Reduced workshop fee for ADBIS participants	70 EUR	70 EUR	70 EUR