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Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract)

  • Bogdan GabrysEmail author
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 242)

Abstract

We are currently experiencing an incredible, explosive growth in digital content and information. According to IDC [5], there currently exists over 2.7 zetabytes of data. It is estimated that the digital universe in 2020 will be 50 times as big as in 2010 and that from now until 2020 it will double every two years. Research in traditionally qualitative disciplines is fundamentally changing due to the availability of such vast amounts of data. In fact, data-intensive computing has been named as the fourth paradigm of scientific discovery [6] and is expected to be key in unifying the theoretical, experimental and simulation based approaches to science.

Keywords

Simulation Base Approach Soft Sensor Intelligent Data Analysis Airline Ticket Real World Prob 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Smart Technology Research Centre, Computational Intelligence Research GroupBournemouth UniversityBournemouthUnited Kingdom

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