About one approach to data expert analysis in the intranet. Dulin, S. & Kiselev, I. Journal of Computer and Systems Sciences International, 37(5):780-787, 1998. cited By 0
About one approach to data expert analysis in the intranet [link]Paper  abstract   bibtex   
In this paper, stages of analytical expert activity are considered. The main tools and instruments used for a subject information search on the Intranet under the conditions of large information distribution and data type diversity are analyzed. The design of a specific model of subject field for rearrangement of the knowledge structure of local analysts is proposed as one of the methods for solution of this problem. The capabilities of a demonstration dummy are briefly described. Copyright © 1998 by MAK Haya/Interperiodica Publishing.
@ARTICLE{Dulin1998780,
author={Dulin, S.K. and Kiselev, I.A.},
title={About one approach to data expert analysis in the intranet},
journal={Journal of Computer and Systems Sciences International},
year={1998},
volume={37},
number={5},
pages={780-787},
note={cited By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746417092&partnerID=40&md5=b84e4dea034714ed4b177dad3d4d5f48},
affiliation={Computer Center, Russian Academy of Sciences, Moscow, Russian Federation},
abstract={In this paper, stages of analytical expert activity are considered. The main tools and instruments used for a subject information search on the Intranet under the conditions of large information distribution and data type diversity are analyzed. The design of a specific model of subject field for rearrangement of the knowledge structure of local analysts is proposed as one of the methods for solution of this problem. The capabilities of a demonstration dummy are briefly described. Copyright © 1998 by MAK Haya/Interperiodica Publishing.},
correspondence_address1={Dulin, S.K.; Computer Center, Russian Academy of Sciences, Moscow, Russian Federation},
issn={10642307},
coden={JSSIE},
language={English},
abbrev_source_title={J Comput Syst Sci Int},
document_type={Article},
source={Scopus},
}

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