Data mining, also referred to as knowledge discovery in databases, is a process of finding new, interesting, previously unknown, potentially useful, actionable, and ultimately understandable patterns from very large volumes of data. Data mining brings together disciplines such as database systems, statistics, artificial intelligence, machine learning, parallel and distributed processing, and visualization. Popularity of data mining results from straight applicability of discovered patterns in decision support in many areas, e.g. in medicine, retail, telecommunication, banking, insurance, and many others. Data mining products are now commercially available, numerous industrial applications are being developed, as well as interesting academic prototypes are being presented.

Following the success of the previous two editions, ADMKD'2007 is the third 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 Workshops 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 solutions. We encourage papers that report progress in ongoing research. Position papers and vision papers are also welcomed.

We invite researchers, practitioners, and PhD students 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
• Visualization of data mining results
• Performance benchmarks
• Experience in building and deploying data mining applications
• Data mining in medicine, e-commerce, Web, finance, marketing, telecommunications, etc.

The workshop calls for research and industrial papers reporting original results. All paper submissions will be handled electronically. Papers should be submitted via e-mail to admkd07@cs.put.poznan.pl. Each paper will be carefully reviewed by program committee members. Papers should be submitted in Microsoft Word *.doc, postscript or PDF files formatted according to the LNCS format (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 admkd07@cs.put.poznan.pl. The extended versions of selected papers will be invited for journal publication in Control and Cybernetics (control.ibspan.waw.pl) (ISI Master Journal list).

Registration fee must be payed before July 30, 2007. We will acknowledge payments within 5 days of receiving them. For details regarding payment procedure please refer to main ADBIS'2007 website at https://www.adbis.org/psrs/?cmd=gsRegForm.
When paying the registration fee please include the following title of the payment:

• for authors of papers: "ADBIS2007 - ADMKD2007 Workshop, lastname"
• for participants without papers: "ADBIS2007 - ADMKD2007 Workshop, registration-id, lastname"