articles
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№ 1(19)
01 january 2009 year
Rubric: Automated information systems Authors: Igotti M. K., Yuriev V. N. |
For the intelligence system automated choice it is necessary to fulfill survey of the corporation, at first. Further it is necessary to detect out the control systems essential functions, demanding automation in a maximum degree. The outcome of the given stage should become constructional basis of a functional part of an intelligence system.
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The studies of document information flows revealed «in-formation concentration/scattering» phenomenon described normally by a matrix of document transfer from the j-th information source to the i-th information consumer likelihoods. To describe the structure of economic processes «the set theoretic model for information scattering» based on the simplest semantic description of information flows and their profiles in the form of sets of terms (or descriptors) is proposed. The model takes into consideration the semantics of goods, products, services, needs and other items usually included in economic models.
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The reliable criteria for independent variables ranging and insignificant parameters rejecting of the multifactorial statistical analysis are suggested and necessary validation is provided. The illustrating example description and the 30-years research experience in mechanical engineering, metallurgy and medicine statistics can be regarded as strong confirmation of the criteria efficiency.
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The history of development and creation of the automated intelligence systems in our country is linked to names of some known scientists. These scientists worked at different levels of the government and posts. We shall not compare with their contribution to development of the automated control systems. And simply we shall assist the reader to get acquainted with the scientists standing for sources of automated control in 20 century.
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International Scientific Congress on Business Role in the Transformation of Russian Society was held on 13-17 April 2009 in Moscow University of Industry and Finance. The leading Russian experts and economists were among the congress participants and nearly 480 reports were made. Two Computer Science workshops were introduced by the Information systems and technologies faculty and the Programming faculty during the forum.
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The model handling two major commercial bank liquidity components is considered. The first one depends on banking call accounts balances and the second one depends on deposits and credits streams balance. Time series prediction methods and GPSS World system simulation technique are used for assessing the first and the second components values accordingly. Nonparametric random algorithm for time series with autocorrelated features generation is offered to simulate banking accounts balances time series. Several nonparametric statistics tests are run to evaluate the correspondence between real time series and generated series. The liquidity parameters calculated for different credit defaults probability values are presented.
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