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    DS 2018 - 21st International Conference on Discovery Science

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    Website http://www.cyprusconferences.org/ds2018 | Want to Edit it Edit Freely

    Category Knowledge discovery; Ubiquitous knowledge; Data Mining; Human-machine interaction; Machine learning

    Deadline: June 28, 2018 | Date: October 30, 2018-October 31, 2018

    Venue/Country: St. Raphael Resort, Limassol, Cyprus

    Updated: 2018-04-17 23:45:00 (GMT+9)

    Call For Papers - CFP

    *** FIRST CALL FOR PAPERS ***

    21st International Conference on Discovery Science (DS 2018)

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

    http://www.cyprusconferences.org/ds2018

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

    WELCOME

    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.

    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

    PAPER SUBMISSION

    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: https://easychair.org/conferences/?conf=ds20180 .

    PUBLICATION AND JOURNAL SPECIAL ISSUES

    The DS 2018 proceedings will be published by Springer in LNAI

    (Lecture Notes in Artificial Intelligence) and will be available at the

    conference.

    Authors of best papers will be invited to submit their extended versions to

    the Machine Learning journal (https://link.springer.com/journal/10994)

    published by Springer. Fast Track Processing will be used to have them

    reviewed and published.

    IMPORTANT DATES

    • 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

    ORGANIZING COMMITTEE

    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


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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