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DS 2016 : 19th International Conference on Discovery Science


Conference Series : Discovery Science
When Oct 19, 2016 - Oct 21, 2016
Where Bari, Italy
Submission Deadline May 21, 2016
Notification Due Jun 28, 2016
Final Version Due Jul 21, 2016
Categories    knowledge discovery   artificial intelligence   data mining   machine learning

Call For Papers

19th International Conference on Discovery Science held in conjunction
with ALT-2016

19-21 October 2016 – Bari, Italy

Full paper submission: 21 May 2016
Author notification: 28 June 2016
Camera-ready papers due: 21 July 2016

::: CFP :::

The 19th International Conference on Discovery Science (DS 2016) 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
discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains.

We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational
scientific discovery, mining scientific data, computational creativity and discovery informatics.

DS-2016 will be co-located with ALT-2016 (, the 27th 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 Machine Learning journal.

::: Invited Speakers :::

- John Shawe-Taylor, University College London (joint with ALT)
- Kristian Kersting, Technical University of Dortmund

::: Submission Topics :::

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. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to:

- 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

::: Submission Format :::

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. The Program Committee reserves the right to offer acceptance as Short Papers (8 pages in the Proceedings) to some submission. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2016 review process.

::: Submission Mode :::

Authors can submit their papers electronically via our submission page through Easychair:

Toon Calders and Michelangelo Ceci (PC Chairs DS)
Donato Malerba (General Chair ALT/DS)

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