1st Workshop on High Velocity Mobile Data Mining – MobDM 2016

This workshop solicits papers on stream mining of high velocity data. It welcomes domain-driven applications in Web, science, engineering, healthcare, finance, business, transportation, and telecommunication. We also encourage position and on-going research papers. The workshop will be held June 13, 2016 - Porto, Portugal. More details http://mobdm2016.inesctec.pt/.
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Maestra Summer School in Ohrid, 04-08 sep 2016

The school will include lectures on predictive modelling methods for big and complex data. More specifically, the lectures will present methods handling the following complexity aspects: (a) structured data as input or output of the prediction process, (b) very large/massive datasets, with many examples and/or many input/output dimensions, where data may be streaming at high rates, (c) incompletely/partially labelled data, and (d) data placed in a spatio-temporal or network context. Each of thes...
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Best paper at IDEAL 2015

Data-driven-Hierarchy-Tree
Web genre classification via hierarchical multi-label classification Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski and Dragi Kocev In this paper, the web genres labels are exploited by constructing a hierarchy of web genres and then use methods for hierarchical multi-label classification to boost the predictive performance. Two methods for hierarchy construction: expert-based and data-driven are used.
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