The 16th International Conference on Discovery Science (DS-2013) will be held in Singapore, on 6-9 October 2013, collocated with ALT-2013, the 24th International Conference on Algorithmic Learning Theory. The two conferences will be held in parallel, and will share their invited talks.

Traditionally the proceedings of DS series appear in the Lecture Notes in Artificial Intelligence Series by Springer-Verlag. In addition, a special issue on Discovery Science is planned in a prestigious journal.

DS 2013 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.

Important dates
Full paper submission: May 11, 2013 (extended: May 25, 2013)
Author notification: June 16, 2013
Camera-ready papers due: July 7, 2013
Early registration deadline: September 7, 2013
Conference: October 6-9, 2013

All deadlines are 23:59:59 Pago Pago/American Samoa time. Abstracts and first versions of the papers have to be submitted by this time, but it will still be possible to replace the uploaded versions for some time after the deadline.

Submissions

We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains.

Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series.

Submitted papers may not have appeared in or be under consideration for another conference or a journal, nor may they be under review or submitted to another forum during the DS 2013 review process.

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

Submission Topics

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
Declarative approaches for data 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