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By G. Sh. Tsitsiashvili

This e-book offers works on processing time sequence of observations in difficulties of meteorology, ichthyology, scientific geography, epidemiology and demography. those works were released by means of the authors in the final four years within the Russian journals and said at a number of Russian and foreign meetings. the elemental equipment of processing of time sequence within the accrued works are constructed algorithms for: reputation of pictures, classifications, and estimations of dispersions of fluctuations referring to a development. the belief of development of the 1st algorithms is composed in learning huge outliers in time sequence. Such technique has allowed to build very simple for realizing and really speedy, as to computing, algorithms of popularity of pictures and classifications and to use them within the difficulties which are characterized via huge volumes of empirical information.The 3rd of the desired algorithms relies on particular variations of time sequence to issues of a small pattern and larger fluctuations. program of conventional algorithms within the thought of arrays of the empirical details calls for advanced calculations. the issues defined in awarded works, are genuine and that is why the utilizing in them of the provided algorithms incorporates now not illustrative, yet large personality. the issues in query: effect of meteorological elements on severe values: trap of fish(hunchback salmon) within the Amur river, freezing within the Tatar strait, numbers contaminated through tick-borne [vernal] encephalitis and different epidemic illnesses in Primorye Territory, impact of financial variations on quite a few age teams of the inhabitants and on dynamics of a inhabitants in towns of the Primorye Territory, impact of worldwide warming on fluctuations of floor temperature in numerous parts of the some distance East.

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If the results of prediction for more three infections (syphilis, scabies, scarlet fever) are added when the number of votes “for” was equal to unity then one can recognize that prediction with the epidemiological factors was much more weighty than that with the use of “climate”. The verification of the realized prediction for seventeen nosological forms showed that the prediction proved to be absolutely correct in thirteen cases while, in four cases (Lime disease, tuberculosis, Chickenpox and infectious mononucleosis), the prediction proved to be wrong because a true level of infection rate was slightly higher than critical one (see table 8).

At the same time, the results of prediction using the epidemiological parameters present a principally different picture and are characterized by a quite high degree of accuracy against the background of prediction using climatic parameters. It must be emphasized that forecasting of the critical levels of one or other nosoform was performed in each case by only those concurrent infections which were most similar in their long-term variations revealed earlier by clustering and divided into 4 groups rather than by the whole set of other concurrent ones [3].

If the results of prediction for more three infections (syphilis, scabies, scarlet fever) are added when the number of votes “for” was equal to unity then one can recognize that prediction with the epidemiological factors was much more weighty than that with the use of “climate”. The verification of the realized prediction for seventeen nosological forms showed that the prediction proved to be absolutely correct in thirteen cases while, in four cases (Lime disease, tuberculosis, Chickenpox and infectious mononucleosis), the prediction proved to be wrong because a true level of infection rate was slightly higher than critical one (see table 8).

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