title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ¸ Ð¾ÑÐºÐ°Ð·Ð° ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² ÑÐµÐ»ÐµÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð½Ð° Ð±Ð°Ð·Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ° Ð¿Ð¾ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ 27.04.03 - Ð¡Ð¸ÑÑÐµÐ¼Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ ; 27.04.03_01 - Ð¢ÐµÐ¾ÑÐ¸Ñ Ð¸ Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ¸ÑÑÐµÐ¼Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð² ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¸Ñ Ð¸ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÐºÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼Ð°Ñ
titleType: Subtitle
Creators: name: Ð£ÑÐ¾Ð´ÐºÐ¾Ð², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2019
Subjects: Ð¢ÐµÐ»ÐµÑÐ¾Ð½Ð½ÑÐµ ÑÑÐ°Ð½ÑÐ¸Ð¸ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ðµ
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Ð±Ð¾Ð»ÑÑÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ
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Ð³ÑÐ°Ð´Ð¸ÐµÐ½ÑÐ½ÑÐ¹ Ð±ÑÑÑÐ¸Ð½Ð³
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description: ÐÐ°Ð³Ð¸ÑÑÐµÑÑÐºÐ°Ñ Ð´Ð¸ÑÑÐµÑÑÐ°ÑÐ¸Ñ Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐºÐ°Ð·Ð° ÑÐ»ÐµÐ¼ÐµÐ½ÑÐ¾Ð² ÑÐµÐ»ÐµÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸.
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ÐÑÐ¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¸ÐºÐ»Ð°Ð´Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð±ÑÐ»Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÐµÑÐµÐ½Ð¸Ñ, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ Ð½Ð¾Ð²ÑÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐ»Ð¾Ð¶Ð½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. 
ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ ÑÐ°Ð±Ð¾ÑÑ, Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¸ ÑÐ¸ÑÑÐµÐ¼Ð°, ÐºÐ¾ÑÐ¾ÑÐ°Ñ ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð° ÑÐµÑÐ¸ÑÑ Ð±Ð¸Ð·Ð½ÐµÑ-Ð¾ÑÐ¸ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð·Ð°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÑÑ Ð² Ð»ÑÐ±ÑÑ Ð¾Ð±Ð»Ð°ÑÑÑÑ.
description: This Master thesis about developing the system of outgate prediction of the phoneâs network elements. 
When designing this system, the existing approaches for solving this kind of problems were considered, and the analysis of existing algorithms and methods for the analysis of Big Data was carried out. Based on the identified shortcomings of the current methods and the advantages of each separately considered method, a mathematical apparatus was formulated that most satisfies the requirements of the quality of forecasting and the criteria for computational efficiency.
During the development of the applied system, modern technological solutions were used, and new learning algorithms for complex prediction models were implemented.
According to the results of the work, a model and system were developed that is capable of solving business-oriented tasks that can be applied in many areas.