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MATHEMATICAL MODEL OF INPUT INFORMATION FLOW IN INFORMATION-ANALYTICAL SYSTEM

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A model is proposed for input flow of information consisting of elementary information fragments, each of the fragment representing a pertinent part of various documents. The pertinence of the processed information document is shown to vary significantly in the range from 70% to 1% or less. An example of the structure of the text information of the document, broken into elementary pieces is presented. It is shown that representation of the document in the form of a Poisson flow allows to solve the planning problem of information processing in the information-analytical system as a problem in the theory of mass service with pertinent fragments being the service requests. The approach is reported to reduce the influence of noise on the quality of the planning process.

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