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articles

№ 4(22) 01 august 2009 year
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Authors: Fokin A. A., Andreev V.

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Paper is devoted to development of complex system of forecasting of functioning of cash dispenses and devices of self-service networks. On the basis of the results of the forecasting which are given out by the complex, and having broken city on «reaction sectors», probably more effectively to use human, material and other resources, and also a transport situation on roads.

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№ 4(22) 01 august 2009 year
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The author: Gudkovskij V. S.

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The width of distribution and information-communication possibilities which web-blog gives stimulate active studying of the blogs. The basic directions of scientific research of the blogs are: web-blog anthropology; the research of socio-cultural aspects of online diaries; studying of the virtual communities within the limits of blogs; conformities of occurrence and functioning of public opinion within the limits of blogs to natural laws; blog sphere structure.

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№ 1(31) 18 january 2011 year
Rubric: Financial market analysis
Authors: Nejskij I. M., Filippovich A. Y.

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The article is devoted to one of analysis tasks of the data mining. Authors introduce the methodology of the adaptive clustering based on integration and modification of popular methods Fuzzy Cmeans and MST. Also in the article new methods of post-clustering are described, which can reduce time for research. The methodology compares with existing approaches (K-means and Self-Organizing Maps). The article gives an example of its practical usage for designing tariff policy in the field of brokerage service.

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№ 1(31) 18 january 2011 year
Rubric: Network technologies
Authors: Butusov O. B., Meshalkin V. P., Nigmatullin R. M., Nikiforova O. P., Smoller A. V.

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The authors of the article have developed software that helps analyze and forecast profitability for joint investment funds (JIF) using back-propagation neural nets. The authors presented moving window algorithm for time series construction for neural nets training. The results show that neural nets might be used for correct forecasting of JIF profitability.

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№ 1(31) 18 january 2011 year
Rubric: Network technologies
Authors: Bugorskij V. N., Sergienko A. G.

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Neural networks are based on artificial intelligence algorithms. They serve as a modern tool for forecasting stock market performance,. Thanks to its wide use in various fields of science, neural networks have proven to be a flexible forecasting tool that can solve a wide range of tasks and provide support to the trader in his work.

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№ 1(31) 18 january 2011 year
Rubric: Business information systems
Authors: Lezina T., Gel`man M. V.

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The comparative analysis of corporate information systems (CIS) architectures in retail chains is conducted. The prospective lines of CIS implementation are displayed. Two typical approaches to the building of IS architecture, their advantages and disadvantages have been formulated.

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