The Linear Estimation Problem and Information in Big-Data Systems

  • P. V. Golubtsov
Information Analysis


This paper addresses the problem of transforming the optimal linear estimation procedure in such a way that separate fragments of initial data are processed individually and concurrently. A representation of intermediate information is proposed that allows an algorithm to concurrently extract this information from each initial data set, combine it, and use it for estimation. It is shown that, on an information space constructed, an ordering is induced that reflects the concept of information quality.


Big Data linear estimation canonical information distributed data collection and processing systems information algebra and information space 


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© Allerton Press, Inc. 2018

Authors and Affiliations

  1. 1.Lomonosov Moscow State UniversityMoscowRussia
  2. 2.National Research University Higher School of EconomicsMoscowRussia

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