Data intelligence concerns how data may be acquired, handled, managed, enriched, processed, ... in order to extract, or to reveal information, utlimately to make decisions or serve as a decision aid. Here, data should be understood in a very broad sense, originating from various sources (sensors, databases, social networks, etc), involving various types (images, texts in natural language, numbers, etc). In this context, data has to be organized; vast amounts of data have to be dealt with; data is usually streamed, and its characteristics may change over time; useful information has to be extracted from this flow of data. The fields of applications are extremly large: business related applications are well-known, but there are also a large range of applications in science (physics, astronmy, biology, medicine, ...).
In CRIStAL, the "Data Intelligence Group" (DatInG) is composed of a set of 4 research groups: Links, Magnet, SequeL and Sigma. DatInG combines strong skills in databases, machine learning, data mining, and signal processing. Links considers graph databases for storing and querying information networks. Magnet considers graphs of objects, including texts in natural language. Sigma considers signals, i.e. mathematical entities coming from physical measures. SequeL considers sequential data and addresses learning an optimal behavior in a dynamic, noisy, time-varying stream of data.
Altogether, these 4 groups address the most important steps of the data intelligence pipeline. Activities in DatInG span from basic research to applications and collaborations with companies.