title: Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð¿Ð¾ Ð¶ÑÑÐ½Ð°Ð»Ð°Ð¼ ÑÐ¾Ð±ÑÑÐ¸Ð¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐµÐºÑÑÑÐµÐ½ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
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°
titleType: Subtitle
title: Error prediction system based on event logs based on recurrent neural network
Creators: name: ÐÐ¸ÑÐ²Ð¸Ð½Ð¾Ð², ÐÐ°ÐºÑÐ¸Ð¼
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: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
data analysis
data classification

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description: The subject of the graduate qualification work is "Error prediction system based on event logs based on recurrent neural network". This paper explores the possibility of analyzing data generated by highly loaded information systems using machine learning algorithms to improve the performance of these systems by detecting errors that lead to the failure of the entire system. The tasks solved in this graduate qualification work: - Explore existing log file analysis tools. - Develop the scheme and algorithm of the proposed solution. - Implement the system in Python using existing libraries. - Train the neural network and test the algorithm. - Analyze the results of the work and draw conclusions. In the master's thesis different ways of solving the described problem were an-alyzed. The work examines the characteristics of neural networks and their application in solving the problem. During the writing of the work modern tools were used. The presented algorithm was tested for the possibility of predicting the occurrence of a failure in the system, based on the event log of this system and showed a positive result.