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 17th, 2019 (EXTENDED)
Paper acceptance notification September, 4th, 2019
Paper camera-ready deadline September, 48h, 2019



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)