БАЙЄСІВСЬКА МЕРЕЖА — ІНСТРУМЕНТ ІНТЕЛЕКТУАЛЬНОГО АНАЛІЗУ ДАНИХ

Bayesian networks (BN) represent a useful and seriously claimed instrument for implementation in data mining systems of various applications. Existing methods of construction BN and probabilistic inference from training data have high computation complexity. For construction BN heuristic method of c...

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Bibliographische Detailangaben
Datum:2007
Hauptverfasser: Terentyev, A.N., Bidyuk, P.I., Korshevnyuk, L.A.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: V.M. Glushkov Institute of Cybernetics of NAS of Ukraine 2007
Online Zugang:https://jais.net.ua/index.php/files/article/view/329
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Назва журналу:Problems of Control and Informatics

Institution

Problems of Control and Informatics
Beschreibung
Zusammenfassung:Bayesian networks (BN) represent a useful and seriously claimed instrument for implementation in data mining systems of various applications. Existing methods of construction BN and probabilistic inference from training data have high computation complexity. For construction BN heuristic method of construction BN is proposed, and for implementation of probabilistic inference an algorithm of probabilistic inference in BN from a database is suggested. Experimental results and examples for using BN are presented.