Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2015: Machine Learning and Knowledge Discovery in Databases pp 237-240

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform

  • Qian Zhang
  • Corrado Gioannini
  • Daniela Paolotti
  • Nicola Perra
  • Daniela Perrotta
  • Marco Quaggiotto
  • Michele Tizzoni
  • Alessandro Vespignani
Conference paper

DOI: 10.1007/978-3-319-23461-8_21

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9286)
Cite this paper as:
Zhang Q. et al. (2015) Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform. In: Bifet A. et al. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2015. Lecture Notes in Computer Science, vol 9286. Springer, Cham

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.

Keywords

Real-time forecasting Epidemic modeling Data mining 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Qian Zhang
    • 1
  • Corrado Gioannini
    • 2
  • Daniela Paolotti
    • 2
  • Nicola Perra
    • 1
  • Daniela Perrotta
    • 2
  • Marco Quaggiotto
    • 2
  • Michele Tizzoni
    • 2
  • Alessandro Vespignani
    • 1
    • 2
  1. 1.MOBSNortheastern UniversityBostonUSA
  2. 2.ISI FoundationTurinItaly

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