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Prof.dr. Alan Hanjalic Geert-Jan Houben

Social Data Computing

People generate vast amounts of data on the so-called social web, either as patients, citizens, travellers, customers, or employees. Because the potential value hidden in social data is immense, scientific and business processes increasingly take these online actions, reactions and interactions into account.

However, this data category is more difficult to interpret than big data in general. As a result, making sense of these data to extract useful information is particularly challenging. The research of DDS into social data computing focuses on methods and algorithms to interpret social data and to turn these data into value for a wide range of stakeholders.

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