*DS 2018-* The 21 st International Conference on Discovery Science
*30-31 October, St Raphael Resort, Limassol, Cyprus*
http://cyprusconferences.org/ds2018/
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, semantic web, 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 (http://cyprusconferences.org/
ismis2018/), the 24th International Symposium on Methodologies for
Intelligent Systems. The two conferences will be held in parallel and will
share their invited talks. The proceedings of the DS conference will be
published in the Lecture Notes in Artificial Intelligence Series by
Springer-Verlag. Selected papers will be invited for a submission to a
special issue in Machine Learning journal.
::: 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 and analysis
- 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. 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.
::: Submission Mode :::
-----------------------
Authors can submit their papers electronically via our submission page
through
Easychair: https://easychair.org/conferences/?conf=ds20180
We encourage authors to submit an abstract well in advance of submitting a
full paper.
::: IMPORTANT DATES :::
-----------------------
Full paper submission: 28th June 2018
Author notification: 28th July 2018
Camera-ready papers due: 28 July 2018
::: Committees :::
-----------------------
George Papadopoulos, University of Cyprus, (General Chair ISMIS/DS)
Larisa Soldatova, Goldsmiths, University of London, UK, (PC Chair DS 2018)
and Joaquin Vanschoren, Eindhoven University of Technology, the
Netherlands, (PC Chairs DS 2018)
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