Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets (15w2181)


(University of Bologna)

(University of Alberta)

(Medical University Graz)

Vasile Palade (Coventry University)


The Banff International Research Station will host the "Advances in interactive Knowledge Discovery and Data Mining in complex and big data sets" workshop from July 24th to July 26th, 2015.

A worldwide problem in health systems is how to deal with increasingly large and complex sets of heterogeneous, high-dimensional data and increasing amounts of unstructured information. The trend towards preventive, predictive, participatory and personalized medicine, i.e., precision P4-medicine, has resulted in an explosion in the amount of generated omics-data, rarely used in clinical routine. This workshop will bring together researchers with diverse backgrounds, complementary competencies, but common interests and a shared vision: to make sense of Big Data by using advanced machine learning with the “human-in-the-loop.” This workshop particularly tries to contribute advancements in promising novel areas, e.g. in interactive graph-based, entropy-based and topological data mining. A particular focus is to include also young and early stage researchers into the discussions. This workshop will also discuss approaches beyond data mining.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).