Uncertainty in big data analytics: survey, opportunities, and challenges

Big data analytics has gained wide attention from both academia and industry as the demand for understanding trends in massive datasets increases. Recent developments in sensor networks, cyber-physical systems, and the ubiquity of the Internet of Things (IoT) have increased the collection of data (including health care, social media, smart cities, agriculture, finance, education, and more) to an enormous scale. However, the data collected from sensors, social media, financial records, etc. is inherently uncertain due to noise, incompleteness, and inconsistency. The analysis of such massive amounts of data requires advanced analytical techniques for efficiently reviewing and/or predicting future courses of…

• NS
  National Science Foundation

  Awards: CNS-1657061, 1657061
• AS
  Arizona Space Grant Consortium
• MS
  Michigan Space Grant Consortium
• CI
  Comcast Innovation Fund