S.A.T.E. @ 3a Conferenza Internazionale su  Big Data Analysis e Data Mining (Londra)

S.A.T.E. parteciperà alla 3a Conferenza Internazionale su Big Data Analysis e Data Mining, a Londra dal 26 al 27 settembre 2016.

Durante la conferenza la S.A.T.E. presenterà i risultati ottenuti in tre lavori svolti per l'Agenzia Spaziale Europea (European Space Agency, ESA) che puntano all’estrazione di conoscenza senza informazioni a priori applicando metodi di novelty detection, applicati al settore spaziale per migliorare le operazioni di terra e al settore medico con lo scopo ultimo di migliorare l’autonomia medica degli astronauti.

L'evento avrà luogo dalle 09:30 del 26 settembre all’Hotel Crowne Plaza Heathrow London, vicino all’aereoporto di Heathrow (Londra).

Abstract della presentazione

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.

 

Maggiori dettagli sulla conferenza al link
http://datamining.conferenceseries.com/

Programma scientifico al link

http://datamining.conferenceseries.com/scientific-program/

Maggiori dettagli sulle attività di SATE nel settore del Big Data Analysis e Data Mining
http://www.sate-italy.com/ketty

http://www.sate-italy.com/it/portfolio/prodotti/clue/

http://www.sate-italy.com/it/news/astronauts-medical-autonomy/

http://www.sate-italy.com/it/news/spacecraft-telemetry-checking/

http://www.sate-italy.com/it/news/speech-sate-seminar-information-technology/

http://www.sate-italy.com/news/bids2016
http://www.sate-italy.com/news/dealing-with-data
http://www.sate-italy.com/papers/knowledge_extraction

Luogo dell'evento:

HILTON LONDON HEATHROW AIRPORT
Terminal 4 Heathrow Airport, Sheffield Road,
Hounslow, Middlesex TW6 3AF
United Kingdom

Informazioni logistiche disponibili al link
http://datamining.conferenceseries.com/venue-hospitality.php

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