Dear Colleagues,
Apologies if you have already received this call.
*Call for Papers*
The 22nd International Conference on Discovery Science
<https://ds2019.irb.hr/>(DS2019) will be held on October 28-30, 2019, in
the town of Split, on the beautiful Adriatic coast.
<http://ds2019.irb.hr/>
http://ds2019.irb.hr/ <http://ds2019.irb.hr/>
Conference flyer
<http://ds2019.irb.hr/content/download/17386/291548/file/DS2019-poster-final.pdf>
The 22nd International Conference on Discovery Science (DS 2019)
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 invite submissions of research papers addressing all aspects of
discovery science: papers that focus on the analysis of different types
of massive and complex data, including structured, spatio-temporal and
network data. We would also like to encourage contributions from the
areas of computational scientific discovery, mining scientific data,
computational creativity and discovery informatics. We particularly
welcome papers addressing applications from different domains of science
including biomedicine and life sciences, astronomy, physics, chemistry,
as well as social sciences. 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
* Evaluation of models and predictions in discovery setting
* Causality modeling
* Interpretability of machine learning and deep learning models
* AI frameworks for discovery in scientific domains
* Biomedical knowledge discovery, analysis of (multi)omics,
micro-array,gene deletion, gene set enrichment data
* Machine Learning for High-Performance Computing, Grid and
Cloud Computing
* Applications of the above techniques to other natural or
social sciences
*Important Dates*
Paper submission: 14.6.2019Author notification: 22.7.2019 PhD session
abstract submission: 2.8.2019 PhD abstract notification: 9.8.2019 Camera
ready: 16.8.2019 Author registration: 20.8.2019 Conference: 28. - 30.10.2019
Authors are invited to submit their papers through the conference online
submission site:
https://easychair.org/conferences/?conf=ds_2019
Detailed submission instructions and organization related to the
conference are also available here: CFP
<http://ds2019.irb.hr/content/download/17385/291542/file/CFP.pdf>
*Publication***
Traditionally, the proceedings of Discovery Science series appear in the
Lecture Notes in Artificial Intelligence Series by Springer-Verlag
<http://www.springer.com/computer/lncs?SGWID=0-164-0-0-0>*. *In
addition, a special issue on Discovery Science is planned in Machine
Learning Journal <http://www.springer.com/computer/ai/journal/10994>.
For further information, the contact information is at: _ds2019@irb.hr_
We look forward to meeting you in Split!
Best regards,
DS2019 Organizing Committee
General Chair: Sašo Džeroski, Jožef Stefan Institute, Ljubljana,
Slovenia Program Chairs:Petra Kralj Novak, Jožef Stefan Institute,
Ljubljana, Slovenia Tomislav Šmuc, Institut Ruđer Bošković, Zagreb, Croatia
PhD Symposium Chair:Tomislav Lipić, Institut Ruđer Bošković, Zagreb,
Croatia
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