S.A.T.E. @ 3rd International Conference on Big Data Analysis and Data Mining (London)

S.A.T.E. will participate to the 3rd International Conference on Big Data Analysis and Data Mining, in London from the 26th to the 27th of September 2016.

During the conference S.A.T.E. will present the results obtained in three works carried out for the European Space Agency (ESA) aiming at the knowledge extraction without a-priori knowledge applying novelty detection methods to both the space sector, to improve ground operations and to the medical sector, with the ultimate goal of improving astronauts medical autonomy.

The event will take place from 9.30 of the 26th of September at the Hotel Crowne Plaza Heathrow London, near to the Heathrow airport (London).

Abstract of the presentation

The use of simulation and modelling allows gaining knowledge of the system under observation. This may help during the design phase of any systems, e.g. an industrial plant, because it allows a better understanding of the relationships among the several subsystems and processes involved or it may be used for diagnostics purposes, to automatically identify normal observations of a system (e.g. a spacecraft) and any possible new phenomenon and identify possible unknown relationships among subsystems or processes.

Among the several possible approaches available in diagnostics, those based on data mining techniques are on the rise, because they allow the interpretation of large amounts of heterogeneous data using no or very little a priori knowledge, which saves resources and time.

Given their generality, these methods may be tailored to a variety of sectors addressing different scopes. SATE successfully applied them, under contract with the European Space Agency, both in the space sector to telemetry data to monitor the “health” of satellites and to the medical sector to standard medical data, aiming at the improvement of astronaut medical autonomy during space missions1.

These works led to the development of two software prototype, KETTY (Knowledge Extraction Tool for TelemetrY) and CLUE (Tool for Clinical Laboratory data Understanding and knowledge Extraction), tailored, to the analysis and extraction of knowledge, the former from telemetry data, and, the latter from medical laboratory data.

Greater details on the conference available at

Scientific programme at


Further details on SATE activities in the Big Data Analysis e Data Mining field






Place of the event:

Terminal 4 Heathrow Airport, Sheffield Road,
Hounslow, Middlesex TW6 3AF
United Kingdom

Logistic information at