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      Collaboration in a Data-Rich World: 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, Vicenza, Italy, September 18-20, 2017, Proceedings 

      Data Rich – But Information Poor

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      Author(s): ,
      Publication date (Online):
      Publisher: Springer International Publishing

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          Evidence-Based Medicine

          Gordon Guyatt (1992)
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            Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

            Christopher Boone, Jeremy D. Ezell, L. Allison Jones-Farmer … (2014)
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              What can digital disease detection learn from (an external revision to) Google Flu Trends?

              Mauricio Santillana, D Wendong Zhang, Benjamin M Althouse … (2014)
              Google Flu Trends (GFT) claimed to generate real-time, valid predictions of population influenza-like illness (ILI) using search queries, heralding acclaim and replication across public health. However, recent studies have questioned the validity of GFT.
              Article 0 comments Cited 85 times – based on 0 reviews     Review now
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                Book Chapter
                Publication date (Print): 2017
                Publication date (Online): August 22 2017
                Pages: 206-214
                DOI: 10.1007/978-3-319-65151-4_20
                SO-VID: c2cee19a-32ea-4da1-bb9c-4167441d4913
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