Probabilistic information retrieval from census data based on distribution mixtures

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SYSNO ASEP	0410441
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Probabilistic information retrieval from census data based on distribution mixtures
Author(s)	Grim, Jiří (UTIA-B)_{RID, ORCID} Pudil, Pavel (UTIA-B)_RID Somol, Petr (UTIA-B)_RID
Source Title	Acta Oeconomica Pragensia - ISSN 0572-3043 Roč. 8, č. 2 (2000), s. 41-47
Number of pages	7 s.
Language	eng - English
Country	CZ - Czech Republic
Subject RIV	BB - Applied Statistics, Operational Research
CEZ	1075907
Annotation	The possibility of interactive presentation of statistical properties of large and/or confidential databases by means of probabilistic models is based on the probabilistic expert system PES. The probabilistic model can be estimated by means of EM algorithm in the form of a finite distribution mixture to be used as a knowledge base of the probabilistic expert system PES. The final software product can reproduce the properties of the original database without any further access to the original data.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1