title: ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð·Ð°ÑÐ²Ð¾Ðº, Ð¸Ð¼ÐµÑÑÐ¸Ñ ÑÐºÐ»Ð¾Ð½Ð½Ð¾ÑÑÑ Ðº Ð¿ÑÐ¾Ð¿Ð°Ð¶Ðµ Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ, Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Identification of applications that have a tendency to be lost in the system using machine learning algorithms
Creators: name: ÐÐ¾ÑÐ¸ÑÐ¾Ð², ÐÐ»ÑÑ
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: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð³Ð»ÑÐ±Ð¸Ð½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
machine learning
data mining
clustering
classification

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¸Ì ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¸Ì ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð·Ð°ÑÐ²Ð¾Ðº, Ð¸Ð¼ÐµÑÑÐ¸Ñ ÑÐºÐ»Ð¾Ð½Ð½Ð¾ÑÑÑ Ðº Ð¿ÑÐ¾Ð¿Ð°Ð¶Ðµ Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ, Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾Â Ð¾Ð±ÑÑÐµÐ½Ð¸ÑÂ». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð°Ð½Ð°Ð»Ð¸Ð·Ñ Ð¸ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð²Â ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð´Ð°Ð½Ð½ÑÑ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð½Ð°ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð»Ð¾Ð½Ð¾Ð² Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¸Ì Ð² Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð½Ð°Ð±Ð¾ÑÐ°Ñ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. 2. ÐÐ±Ð·Ð¾Ñ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð´Ð»Ñ Ð²Ð½ÐµÐ´ÑÑÐµÐ¼Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°. 3. ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð°Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð²ÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ. 4. ÐÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÐºÐ»Ð°ÑÑÐµÑÐ¾Ð² Ð´Ð»Ñ ÑÐ°Ð·Ð¼ÐµÑÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ. 5. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ðµ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¸ Ð¿Ð¾Ð¼Ð¾ÑÐ¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐÐ6. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¸ Ð²ÑÐ±Ð¾Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÐµÐ¼ÑÐµ Ð´Ð»Ñ Ð·Ð°Ð´Ð°Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸. Ð¢Ð°ÐºÐ¶Ðµ Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÌÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²ÑÐ¾Ð´Ð½Ð¾Ð³Ð¾ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¿Ð¾ÑÐ»ÐµÐ´ÑÑÑÐµÐ¸Ì Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¾Ð¸Ì Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¸Ì. ÐÐ°Ð½Ð½ÑÐµ Ð±ÑÐ»Ð¸ ÑÐ°Ð·Ð¼ÐµÑÐµÐ½Ñ Ð² ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ð¸ Ñ ÐºÐ»Ð°ÑÑÐµÑÐ°Ð¼Ð¸, Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð½ÑÐ¼Ð¸ Ð² ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸, Ð° Ð·Ð°ÑÐµÐ¼ ÑÐ°Ð·Ð´ÐµÐ»ÐµÐ½Ñ Ð½Ð° ÐºÐ»Ð°ÑÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¸Ì, Ð¾ÑÐ¾Ð±ÑÐ°Ð½Ð½ÑÑ Ð½Ð° ÑÑÐ°Ð¿Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÑÐµÌÐ¼ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ¾Ð² Ð±ÑÐ»Ð° Ð¾ÑÐ¾Ð±ÑÐ°Ð½Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð¿Ð¾ÐºÐ°Ð·Ð°Ð²ÑÐ°Ñ ÑÐ¾ÑÐ¾ÑÑÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¾Ð² ÐºÐ°Ðº Ð½Ð° ÑÐµÑÑÐ¾Ð²Ð¾Ð¸Ì Ð²ÑÐ±Ð¾ÑÐºÐµ, ÑÐ°Ðº Ð¸ Ð½Ð° ÑÐµÐ°Ð»ÑÐ½ÑÑ Ð´Ð°Ð½Ð½ÑÑ.
description: The subject of the graduate qualification work: "Identification of applicationsÂ that have a tendency to be lost in the system using machine learning algorithms". This work is devoted to the analysis and comparison of various algorithms for data classification in the scope of the problem of finding anomaly patterns in largeÂ data sets. Tasks that were solved during the study: 1. Analysis of various machine learning algorithms. 2. Overview of the system architecture for the implemented algorithm.Â 3. Input data analysis and preprocessing. 4. Data clustering. 5. Classification using various ML algorithms. 6. Analysis of the results and selection of the optimal algorithmIn the course of the work, various classification algorithms were analyzed. The analysis of the input data set with subsequent processing of indicators was also carried out. The data was marked up according to the clusters identified during the segmentation task, and then divided into classes using models selected at the stage of analysis of machine learning algorithms. By comparing the obtained classifiers, an optimal classification model was selected. This model showed good accuracy in predicting classes both on the test sample and real data.