Welcome

The 17th International Conference on Discovery Science (DS 2014) 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, and intelligent data analysis, as well as their application in various scientific domains.

We welcome papers that focus on the analysis of different types of complex data, such as 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.

The 17th International Conference on Discovery Science will be held from October 8 to 10, 2014 in Bled, Slovenia. We have accepted 30 high-quality full papers for presentation at the conference. This provides ensurance that the event will be broad, lively and thought-provoking. We seek to broaden and strengthen the thrilling discussions by inviting some late-breaking papers with cutting edge research on topics of interest for the Discovery Science community.


Call For Papers - Special issue

The Machine Learning journal invites submissions on Discovery Science - a research discipline concerned with the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their applications in various scientific domains. Submissions focusing on the analysis of different types of complex data, such as structured, spatio-temporal and network data are welcome. Submissions addressing applications in scientific domains, such as environmental and life sciences are also welcome. Finally, submissions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics are encouraged. More info.

Schedule:

  • Submission deadline: 28 February 2015   31 March 2015
  • First review results: 15 May 2015
  • Revised papers due: 15 June 2015
  • Final selection: 31 July 2015
  • Publication: Autumn 2015 (planned)



ALT/DS 2015

The 26th International Conference on Algorithmic Learning Theory (ALT-2015) and the 18th International Conference on Discovery Science (DS-2015) will be held from October 4th to 6th (evening reception on October 3rd) 2015 in Banff, Canada. More info

ALT/DS 2016

The 27th International Conference on Algorithmic Learning Theory (ALT-2016) and the 19th International Conference on Discovery Science (DS-2016) will be held from October 19th to 21st 2016 in Bari, Italy. More info

Invited Talks

Joint Invited Speaker for DS 2014 and ALT 2014
Zoubin Ghahramani, Building an Automated Statistician
Invited Speaker for DS 2014
Michel Dumontier, Semantic approaches for biomedical knowledge discovery
Invited Tutorial Speaker for DS 2014
Anuška Ferligoj, Social Network Analysis
Invited Speaker for ALT 2014
Luc Devroye, Cellular Tree Classifiers
Invited Tutorial Speaker for ALT 2014
Eyke Hüllermeier, Online Preference Learning and Ranking

Conference Proceedings

Download the "Discovery Science 2014" proceedings
Download the "Algorithmic Learning Theory 2014" proceedings

Džeroski, S., Panov, P., Kocev, D., Todorovski, L. (Eds.)

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2014, held in Bled, Slovenia, in October 2014. The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The papers cover topics such as: computational scientific discovery; data mining and knowledge discovery; machine learning and statistical methods; computational creativity; mining scientific data; data and knowledge visualization; knowledge discovery from scientific literature; mining text, unstructured and multimedia data; mining structured and relational data; mining temporal and spatial data; mining data streams; network analysis; discovery informatics; discovery and experimental workflows; knowledge capture and scientific ontologies; data and knowledge integration; logic and philosophy of scientific discovery; and applications of computational methods in various scientific domains. More info.