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Social data mining and seasonal influenza forecasts: The FluOutlook platform

Social data mining and seasonal influenza forecasts: The FluOutlook platform

Zhang, Qian, Gioannini, Corrado, Paolotti, Daniela, Perra, Nicola ORCID: 0000-0002-5559-3064, Perrotta, Daniela, Quaggiotto, Marco, Tizzoni, Michele and Vespignani, Alessandro (2015) Social data mining and seasonal influenza forecasts: The FluOutlook platform. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Springer International Publishing, Cham, pp. 237-240. ISBN 978-3-319-23460-1 ISSN 0302-9743 (doi:https://doi.org/10.1007/978-3-319-23461-8_21)

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Abstract

FluOutlook is an online platform where multiple data sources are integrated to initialize and train a portfolio of epidemic models for influenza forecast. During the 2014/15 season, the system has been used to provide real-time forecasts for 7 countries in North America and Europe.

Item Type: Conference Proceedings
Title of Proceedings: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III
Additional Information: Volume 9286 of the series Lecture Notes in Computer Science
Uncontrolled Keywords: Real-time forecasting; Epidemic modeling; Data mining
Faculty / School / Research Centre / Research Group: Faculty of Business
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 21 Oct 2020 10:05
URI: http://gala.gre.ac.uk/id/eprint/16169

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