EAN: 9783319697741

TOWARDS INTEGRATIVE MACHINE LEARNING AND KNOWLE...

The BIRS Workshop Advances in Interactive Knowledge Discovery and Data Mining in Complex and
Big Data Sets (15w2181)  held in July 2015 in Banff  Canada  was dedicated to stimulating a
cross-domain integrative machine-learning approach and appraisal of hot topics toward tackling
the grand challenge of reaching a level of useful and useable computational intelligence with a
focus on real-world problems  such as in the health domain. This encompasses learning from
prior data  extracting and discovering knowledge  generalizing the results  fighting the curse
of dimensionality  and ultimately disentangling the underlying explanatory factors in complex
data  i.e.  to make sense of data within the context of the application domain. The workshop
aimed to contribute advancements in promising novel areas such as at the intersection of
machine learning and topological data analysis. History has shown that most often the
overlapping areas at intersections of seemingly disparate fields are key for the stimulation of
new insights and further advances. This is particularly true for the extremely broad field of
machine learning.

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