Invited session on
Knowledge Discovery and Data Mining applications for Human Health and Environmental Sciences (sponsored by KDNet - Knowledge Discovery Network of Excellence)

QSAR 2004
the 11th International Workshop on Quantitative Structure-Activity Relationships in the Human Health and Environmental Sciences
9-13 May 2004
Liverpool Britannia Adelphi Hotel, Liverpool, England
Conference Web page: http://www.toxqsar.org/

Download the call for papers

Organizer of the invited session

Dr. Daniel NEAGU
University of Bradford
Department of Computing
E-mail address: D.Neagu@bradford.ac.uk
Web address: http://www.comp.brad.ac.uk/html/c_staff_profile.php3?usercode=dneagu

Invited Speaker

Dr. Christoph HELMA
Institute for Computer Science
University of Freiburg
Web address: http://www.informatik.uni-freiburg.de/~helma/

Objectives

In the last few years, new improved experimental techniques and tools have made possible to collect large quantities of biological and chemical data. There is a critical need for innovative knowledge discovery tools to sift through vast volumes of heterogeneous biological/ chemical data, to analyze these data and express them into new knowledge. The analysis and interpretation of this data range from traditional approaches (statistics, inductive logic) towards more general computational intelligence systems applied to process biological and chemical data: knowledge-based approaches (rule-based inference systems), connectionist systems, knowledge-based information extraction and data mining.
The objective of this invited session is to bring together scientists engaged in knowledge discovery and data mining, machine learning, chemoinformatics, QSAR and predictive toxicology research. The principal challenge the invited session will try to deal with is the communication difficulties that can exist yet between experts in human health and environmental sciences and experts in computational intelligence and data mining. Consequently, it will provide a forum for identifying important contributions and opportunities for research on the application of knowledge discovery and data mining to human health and environmental sciences.

Topics of interest of the session include (but are not limited to) the followings:

Relevant KDD and Machine Learning techniques:

Human Health and Environmental Sciences:

Registration, Abstract/Poster submission, and Instructions for Authors details

Please refer to the workshop main page and specific sections: http://www.toxqsar.org. Bursaries will be available for registered research students.

Publication

The Proceedings of the Workshop will be published in special editions of SAR and QSAR in Environmental Research. This journal, published by Taylor and Francis, currently leads the field in toxicological QSAR (details).

Dates: