Call for Papers: 21st International Conference on Discovery Science (DS 2018)

21st International Conference on Discovery Science (DS 2018)

St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018

(*** In conjunction with ISMIS 2018 ***)


The 21st International Conference on Discovery Science (DS 2018) 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 2018 will be co-located with ISMIS 2018, the 24th International
Symposium on Methodologies for Intelligent Systems. The two conferences
will be held in parallel, and will share their invited talks.


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 and analysis
• Machine learning for high-performance computing, grid and
cloud computing
• Applications of the above techniques to natural or social sciences


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 workshop, conference or a journal,
nor may they be under review or submitted to another forum during the DS
2018 review process

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


The DS 2018 proceedings will be published by Springer in LNAI
(Lecture Notes in Artificial Intelligence) and will be available at the

Authors of best papers will be invited to submit their extended versions to
the Machine Learning journal (
published by Springer. Fast Track Processing will be used to have them
reviewed and published.


• Paper Submissions due: 28th June 2018
• Notification of Acceptance/Rejection: 18th July 2018
• Camera-Ready Versions of Accepted Papers: 28th July 2018
• Author Registration: 31st Juy 2018
• Early Non-Author Registration: 10th September 2018
• Late Non-Author Registration: after 10th September 2018


General Chair
• George Angelos Papadopoulos (University of Cyprus, Cyprus)

Program Committee Co-Chairs
• Larisa Soldatova, Goldsmiths, University of London, UK
• Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands

Fidelia Ibekwe-SanJuan to be Editor-in-Chief of Education for Information

EUChap Advisor Fidelia Ibekwe-SanJuan will be the new Editor-in-Chief of Education for Information.

Current Editor-in-Chief Prof. Jamshid Beheshti says “I am delighted that Fidelia Ibekwe-SanJuan has agreed to be the new Editor-in-Chief of our journal, taking over at the beginning of 2018. Until then she and I will work together on the journal”.

Fidelia Ibekwe-SanJuan is Full Professor at the School of Journalism & Communication of Aix-Marseille University and member of the IRSIC research team in France.