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IntDMBC 2019

Workshop on Intelligible Data Mining models for Bioinformatics and Chemoinformatics 2019

Beijing, China
08 November 2019
The conference ended on 08 November 2019

Important Dates

Abstract Submission Deadline
7th August 2019
Abstract Acceptance Notification
4th September 2019
Final Abstract / Full Paper Deadline
8th September 2019

About IntDMBC 2019

DM algorithms tat produce Symbolic models, or approaches that extract useful knowledge from black-box models are very useful tools to propose explanations that could help experts to understand better the domain. This workshop addresses such concerns. The workshop will be concerned with the exchange of experience among researchers and provide updated knowledge concerning the extraction of useful domain knowledge either by directly using symbolic DM algorithms or post-processing non-symbolic ones.

Topics

Bioinfomatics, Symbolic machine learning, Chemoinformatics

Call for Papers

Workshop on Intelligible Data Mining models for Bioinformatics and Chemoinformatics

                               (IntDMBC 2019)

                         (https://intdmbc2019.fe.up.pt)

                        as part of IEEE ICDM 2019 

                     (http://icdm2019.bigke.org/)

              To be held in Beijing, China, 8th November 2019 Aims and Scope    

Science is about understanding! Although Data Mining (DM) has been extremely useful    in a large number of domains where data analysis is necessary, most of the concerns    of the DM users has been the development of highly accurate models according to some    pre-specified metrics. Those concerns are completely justified and enough for a wide    range application like predicting stock exchange market, for example. However, in    Scientific applications like the Live Sciences or Chemistry a good performance according    to the evaluation metric is most often not enough and an explanation for the phenomena    that produced the data is requited. DM algorithms tat produce Symbolic models, or    approaches that extract useful knowledge from black-box models are very useful tools to    propose explanations that could help experts to  understand better the domain.    This workshop addresses such concerns. The workshop will be concerned with    the exchange of experience among researchers and provide updated knowledge concerning    the extraction of useful domain knowledge either by directly using symbolic DM algorithms    or post-processing non-symbolic ones.

 Topics of interest

     The topics of interest include (but not restricted to) the following ones: 

    *  Novel symbolic Machine Learning algorithms

     *  Novel post-processing approaches to extract  knowledgeable information from black-box systems

     *  Applications of symbolic data mining systems in Bioinformatics

     *  Applications of symbolic data mining systems in Chemoinformatics

     *  Data Mining support tools to obtain intelligible knowledge from data 

Important Dates:

   Paper submission deadline        August 7th, 2019

   Paper acceptance notification    September 4th, 2019

   Paper camera-ready deadline      September 8th, 2019:

   IntDMBC 2019 Workshop            November 8th, 2019

Paper Submission Guidelines 

      Submissions must be original (not previously published and not       under review in other forums). Authors should follow IEEE ICDM       Proceedings Author Guidelines. The regular research papers       length must have a maximum of 10 pages (references, figures,       tables and appendices already included). REMARK that the       camera-ready copy must be 8 pages (2 extra - chargeable - pages       are, however allowed). Papers should be submitted using       Cyberchair (https://wi-lab.com/cyberchair/2019/icdm19/scripts/ws_submit.php?subarea=S).       Submitted papers will be evaluated by three PC       members. Blind reviewing will be used. All accepted papers will       be included in the IEEE ICDM 2019 Workshops Proceedings volume       published by IEEE Computer Society Press, and will also be       included in the IEEE Xplore Digital Library. 

 

Program Chairs:

          Rui Camacho (LIAAD, INESC TEC & DEI & FEUP Universidade do Porto, Portugal) 

       Vítor Santos Costa (CRACS, INESCTEC & FCUP, University of Porto, Portugal) 

   Inês Dutra (CINTESIS, INESCTEC & FCUP, University of Porto, Portugal)

        Nuno Fonseca Nuno Fonseca (CiBIO Universidade do Porto, Portugal)

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