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Development of a Model of Knowledge Mining for Forecasting Financial Markets with Allocation of Standard Tendencies from the Time Series

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Author Info

  • Nykytenko Oleksiy K.

    ()
    (The National Metallurgical Academy of Ukraine)

Abstract

The article develops a model of knowledge mining for forecasting financial markets with allocation of standard tendencies from the time series. The model is considered from the point of view of application of the Knowledge Mining technology. The article provides solution of the direct and inverse problems of adequacy of processing economic information within the framework of acquisition of the formal feature of metricity in the process of the model application. The article shows that due to optimisation the models on the educational sampling of knowledge acquire the notional component, that is the semantic feature. The article offers ways of assessing characteristics of consistency and fullness for ensuring knowledge with a formal feature of activity. The feature of knowledge coherence is included into the fullness characteristic.

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Bibliographic Info

Article provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.

Volume (Year): (2014)
Issue (Month): 1 ()
Pages: 114_117

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Handle: RePEc:idp:bizinf:y:2014:i:1:p:114_117

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Web page: http://www.business-inform.net

Related research

Keywords: knowledge; knowledge mining; standard tendency; fullness; consistency;

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