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A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams

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Advances in Probabilistic Databases for Uncertain Information Management

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 304))

Abstract

In this chapter, we introduce a novel approach for tackling the problem of OLAPing uncertain and imprecise multidimensional data streams via novel theoretical tools that exploit probability, possible-worlds and probabilistic estimators theories. The result constitutes a fundamental study for this exciting scientific field that, behind to elegant theories, is relevant for a plethora of modern data stream applications and systems that are more and more characterized by the presence of uncertainty and imprecision.

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Author information

Authors and Affiliations

  1. ICAR-CNR, University of Calabria, Rende (CS), Italy

    Alfredo Cuzzocrea

Authors
  1. Alfredo Cuzzocrea
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Correspondence to Alfredo Cuzzocrea .

Editor information

Editors and Affiliations

  1. College of Information Science & Engin., Inst. Computer Applications, Northeastern University, Liaoning, Shenyang, 110004, China, People's Republic

    Zongmin Ma

  2. College of Information Science & Engin., School of Software, Northeastern University, Shenyang, 110004, China, People's Republic

    Li Yan

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Cuzzocrea, A. (2013). A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams. In: Ma, Z., Yan, L. (eds) Advances in Probabilistic Databases for Uncertain Information Management. Studies in Fuzziness and Soft Computing, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37509-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-37509-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37508-8

  • Online ISBN: 978-3-642-37509-5

  • eBook Packages: EngineeringEngineering (R0)

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