The IDAMAP workshop series is devoted to computational methods for
data analysis in medicine, biology and pharmacology that present
results of analysis in the form communicable to domain experts and
that somehow exploit knowledge of the problem domain. Such knowledge
may be available at different stages of the data-analysis and
model-building process. Typical methods include data visualization,
data exploration, machine learning, and data mining. This year's
IDAMAP will spend specific, although not exclusive, attention to
classification and feature selection methods.
Gathering in an informal setting, workshop participants will have
the opportunity to meet and discuss selected technical topics in an
atmosphere which fosters the active exchange of ideas among
researchers and practitioners. The workshop is intended to be a
genuinely interactive event and not a mini-conference, thus ample time
will be allotted for general discussion.