Cloud Framework for the Networked Expert and Analytical Tools Integration

Information-analytical decision support systems in government and business are distributed. There are two substantially different approaches of information, experts and analytical support of decision-making. The first is based on using the information that is stored in electronic databases, and the...

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Vydáno v:Trudy Instituta sistemnogo programmirovaniâ Ročník 27; číslo 6; s. 421 - 440
Hlavní autoři: Ermakov, A., Klimenko, S., Merkulov, A., Panfilov, S., Raikov, A.N.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Russian Academy of Sciences, Ivannikov Institute for System Programming 01.10.2018
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ISSN:2079-8156, 2220-6426
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Abstract Information-analytical decision support systems in government and business are distributed. There are two substantially different approaches of information, experts and analytical support of decision-making. The first is based on using the information that is stored in electronic databases, and the second - analyzing of the experts’ views in real time. We propose a design solution for creating the cloud framework for integrates the heterogeneous information, experts and analytical tools in the cloud that provides the convergence of the decision-making processes. The processes can include network expertise, cognitive modeling, visualization and analysis of Big Data. Examples of practical testing of the individual components are shown.
AbstractList Information-analytical decision support systems in government and business are distributed. There are two substantially different approaches of information, experts and analytical support of decision-making. The first is based on using the information that is stored in electronic databases, and the second - analyzing of the experts’ views in real time. We propose a design solution for creating the cloud framework for integrates the heterogeneous information, experts and analytical tools in the cloud that provides the convergence of the decision-making processes. The processes can include network expertise, cognitive modeling, visualization and analysis of Big Data. Examples of practical testing of the individual components are shown.
Author Raikov, A.N.
Klimenko, S.
Panfilov, S.
Ermakov, A.
Merkulov, A.
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SubjectTerms большие данные
верификация
визуализация
гетерогенность
когнитивная модель
конвергентность
облачная среда
сетевая экспертиза
Title Cloud Framework for the Networked Expert and Analytical Tools Integration
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