International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJIET 2013 Vol.5(4): 741-744
doi: 10.7763/IJCTE.2013.V5.787

A Bidimensional Poisson Stochastic Process Perspective of the Result Sets Cardinalities in Random Database Queries

Letiţia Velcescu

  • Faculty of Mathematics and Computer Science, University of Bucharest, Romania.

Abstract

The results presented in this paper follow the author’s research work in the heterogeneous random databases field. This particular type of database involves columns whose values are distributed according to different probability distributions. Usually, the data stored in a random database are likely to be uncertain, so that the operations on these data have to be modified in order to consider approximations. In this paper, we present the research which led us to the Poisson estimation of the probability distribution of the cardinality of the result set of the approximate join operation. Then, we will approach the distribution of the cardinalities values of the result set of a ε-join operation by the means of a homogeneous bidimensional Poisson process. In this context, we will prove that the cardinalities follow this type of stochastic process. Thus, the algorithms for the simulation of the Poisson bidimensional process can be applied in the simulation of the cardinalities values of the approximate join’s result sets.

Keywords

  • Poisson distribution
  • poisson bidimensional stochastic process
  • random database
  • approximate join
  • simulation
787-A028

How to Cite

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Letiţia Velcescu, "A Bidimensional Poisson Stochastic Process Perspective of the Result Sets Cardinalities in Random Database Queries," International Journal of Computer Theory and Engineering, vol. 5, no. 4, pp. 741-744, 2013. https://doi.org/10.7763/IJCTE.2013.V5.787

Copyright & License

Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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