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DS 2009 : The 12th International Conference on Discovery Science


Conference Series : Discovery Science
When Oct 3, 2009 - Oct 5, 2009
Where Porto, Portugal
Abstract Registration Due May 10, 2009
Submission Deadline May 17, 2009
Notification Due Jun 21, 2009
Final Version Due Jul 10, 2009
Categories    data mining

Call For Papers

Discovery Science 2009

The 12th International Conference on Discovery Science (DS-2009) will
be held in Porto, Portugal, on 3-5 October 2009. The proceedings of
DS-2009 will appear in the Lecture Notes in Artificial Intelligence
Series by Springer-Verlag.

DS-2009 provides an open forum for intensive discussions and exchange
of new ideas among researchers working in the area of Discovery
Science. The scope of the conference includes the development and
analysis of methods for automatic scientific knowledge discovery,
machine learning, intelligent data analysis, theory of learning, as
well as their application to knowledge discovery. Very welcome are
papers that focus on dynamic and evolving data, models and structures.


Important Dates

Mentoring program submission: 12 April 2009
Submission deadline: 10 May 2009
Notifications: 21 June 2009
Camera-ready copy: 10 July 2009
Conference: 3-5 October 2009

Collocated Event

DS-2009 will be collocated with ALT-2009, the 20th International
Conference on Algorithmic Learning Theory. The two conferences will be
held in parallel, and will share their invited talks.

Mentoring Program

Based on the success of the past four years, DS-2009 is featuring once
again a mentoring program. Students or groups of students that work
alone are invited to submit a paper draft no later than the mentoring
deadline. They will receive comments from a PC member that will help
them prepare their final submission.

Student Award

An excellent student paper will be selected to receive the Carl Smith Award.
The award carries a scholarship prize of 555 Euros.

Submission Topics

We invite submissions of research papers addressing all aspects of
discovery science. We particularly welcome contributions that discuss
the application of scientific knowledge discovery and other support
techniques including, but not limited to, biomedical, astronomical,
space, chemistry and other physics domains.
A paper submission must be formatted according to the layout supplied
by Springer-Verlag for the Lecture Notes in Computer Science series.
Papers may contain up to fifteen (15) pages. Possible topics include,
but are not limited to:

Logic and philosophy of scientific discovery
Knowledge discovery, machine learning and statistical methods
Ubiquitous Knowledge Discovery
Data Streams, Evolving Data and Models
Change Detection and Model Maintenance
Active Knowledge Discovery
Learning from Text and web mining
Information extraction from scientific literature
Knowledge discovery from heterogeneous, unstructured and multimedia data
Knowledge discovery in network and link data
Knowledge discovery in social networks
Data and knowledge visualization
Spatial/Temporal Data
Mining graphs and structured data
Planning to Learn
Knowledge transfer
Computational Creativity
Human-machine interaction for knowledge discovery and management
Biomedical knowledge discovery, analysis of micro-array and gene deletion data
Machine Learning for High-Performance Computing, Grid and Cloud Computing
Applications of the above techniques to natural or social sciences
Other applications of the above technique

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