Zhang, Qian, Gioannini, Corrado, Paolotti, Daniela, Perra, Nicola ORCID: https://orcid.org/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:10.1007/978-3-319-23461-8_21)

Preview

PDF (Author Accepted Manuscript) 16169 PERRA_Social_Data_Mining_2015.pdf - Accepted Version Download (1MB) | Preview

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

Actions (login required)

View Item

Downloads