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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Bayesian Network as Instrument of Intelligent Data Analysis

Volume 39, Numéro 8, 2007, pp. 28-38
DOI: 10.1615/JAutomatInfScien.v39.i8.40
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RÉSUMÉ

Bayesian networks (BN) represent a powerful tool of intelligent analysis of data of different nature. However, existing methods of constructing BN and forming probabilistic conclusions have a high computational complexity. We suggest using for BM construction an heuristic method, and an algorithm of forming probabilistic inference in BN on the basis of learning data for forming probabilistic inference. Experimental results and examples of application of BN are presented.

CITÉ PAR
  1. Bidyuk Peter, Gozhyj Aleksandr, Kalinina Irina, Probabilistic Inference Based on LS-Method Modifications in Decision Making Problems, in Lecture Notes in Computational Intelligence and Decision Making, 1020, 2020. Crossref

  2. Bidyuk P.I., Huskova V.H. , Analysis of Solvency Using Data Mining Methods, Èlektronnoe modelirovanie, 41, 2, 2019. Crossref

  3. Taran Viktoriya N., Bayesian Networks as a Tool for Modeling Complex Natural Systems with a High Level of Indeterminacy, 2020 XXIII International Conference on Soft Computing and Measurements (SCM), 2020. Crossref

  4. Taran Victoria N., Analysis of Complex Natural Processes Activation with Catastrophic Consequences Using Bayesian Belief Network, in Futuristic Trends in Network and Communication Technologies, 1396, 2021. Crossref

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