Workshop
on
Intelligible Data Mining models for Bioinformatics and Chemoinformatics

(IntDMBC 2019)

as part of

The 19th IEEE International Conference on Data Mining
(ICDM 2019)



Call for Papers
Program
Organisation
Important dates
Venue






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 applications 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 that 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 better understand 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.



This page is maintained by Rui Camacho (rcamacho@fe.up.pt)