title: ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Data-Mining Ð² Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸-Ð»Ð¾ÑÐºÐ¾ÑÑÐµÑÐµ Â«ÐÐ¾Ð±ÐµÐ´Ð°Â»
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: The application of Data Mining techniques in Â«PobedaÂ» low-cost carrier
Creators: name: ÐÐµÑÑÐ³Ð¸Ð½Ð°, ÐÑÐ¸ÑÑÐ¸Ð½Ð°
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: 2020
Subjects: data mining
ÐºÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð±ÑÐ´Ð¶ÐµÑÐ½ÑÐ¹ Ð°Ð²Ð¸Ð°Ð¿ÐµÑÐµÐ²Ð¾Ð·ÑÐ¸Ðº
Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ñ Â«ÐÐ¾Ð±ÐµÐ´Ð°Â»
Ð¼Ð¾Ð´ÐµÐ»Ñ Â«low-costÂ»
cluster-analysis
budget carrier
Â«PobedaÂ» airline
low-cost business model

description: Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ - Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ðµ ÐºÐ»Ð°ÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð»Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð² Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸. ÐÐ°Ð´Ð°ÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ: Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ Ð±Ð¸Ð·Ð½ÐµÑ-Ð¼Ð¾Ð´ÐµÐ»Ð¸ Â«low-costÂ»; Ð°Ð½Ð°Ð»Ð¸Ð· Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸; Ð¾Ð±Ð·Ð¾Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸ÑÑ-Ð»Ð¾ÑÐºÐ¾ÑÑÐµÑÐ°Ñ; ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Â«ÐÐ¾Ð±ÐµÐ´Ð°Â». Ð Ð°Ð±Ð¾ÑÐ° Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð½Ð° Ð±Ð°Ð·Ðµ Ð¼Ð°ÑÐµÑÐ¸Ð°Ð»Ð¾Ð² Ð¾ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Â«ÐÐ¾Ð±ÐµÐ´Ð°Â», Ð¸Ð¼ÐµÑÑÐ¸ÑÑÑ Ð² Ð¾ÑÐºÑÑÑÐ¾Ð¼ Ð´Ð¾ÑÑÑÐ¿Ðµ. ÐÐµÑÐ¾Ð´Ñ: ÑÐµÐ¾ÑÐµÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´, ÑÐ¼Ð¿Ð¸ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´, ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·, ÐºÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·, Ð¸Ð½ÑÐµÑÐ¿ÑÐµÑÐ°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ ÑÐ°Ð±Ð¾ÑÑ: Ð²ÑÑÐ²Ð»ÐµÐ½Ð¾ Ð½ÐµÐ¿Ð¾Ð»Ð½Ð¾Ðµ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ðµ Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ Â«ÐÐ¾Ð±ÐµÐ´Ð°Â» Ð±Ð¸Ð·Ð½ÐµÑ-Ð¼Ð¾Ð´ÐµÐ»Ð¸ Â«low-costÂ»; Ð¾Ð±Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð° ÑÐµÐ»ÐµÑÐ¾Ð¾Ð±ÑÐ°Ð·Ð½Ð¾ÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Data-Mining Ð´Ð»Ñ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð²; ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸; Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð² Ð°Ð²Ð¸Ð°ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸; Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð° Ð¿ÑÐ¾Ð²ÐµÑÐºÐ° Ð½Ð° ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¸ ÑÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ½ÑÐµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ ÐºÐ°Ð¶Ð´Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐµÑÐ°; Ð´Ð¾ÐºÐ°Ð·Ð°Ð½Ð° ÑÐµÐ»ÐµÑÐ¾Ð¾Ð±ÑÐ°Ð·Ð½Ð¾ÑÑÑ ÑÐ¾Ð±ÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¿Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð¼Ð°ÑÐµÑÐ¸Ð½ÑÐºÐ¾Ð¹ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸. ÐÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ°Ñ Ð·Ð½Ð°ÑÐ¸Ð¼Ð¾ÑÑÑ ÑÐ°Ð±Ð¾ÑÑ: ÑÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ñ Ð±Ð¾Ð»ÐµÐµ ÑÐ¾ÑÐ½ÑÐµ Ð¾Ð±ÑÐ°Ð·Ñ ÐºÐ»Ð¸ÐµÐ½ÑÐ¾Ð², ÑÑÐ¾ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð²ÑÑÑÑÐ°Ð¸Ð²Ð°ÑÑ Ð¸Ð½Ð´Ð¸Ð²Ð¸Ð´ÑÐ°Ð»ÑÐ½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ðº ÐºÐ°Ð¶Ð´Ð¾Ð¹ Ð³ÑÑÐ¿Ð¿Ðµ Ð¸ Ð´ÐµÐ»Ð°ÑÑ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ñ Ð¾ÑÐ½Ð¾ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð¿Ð¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ ÐºÐ»Ð¸ÐµÐ½ÑÐ° Ð² Ð±Ð»Ð¸Ð¶Ð°Ð¹ÑÐµÐ¼ Ð±ÑÐ´ÑÑÐµÐ¼.
description: The purpose of the work is to implement the cluster analysis to optimize the segmentation process in an airline company. Tasks of work: examination of Â«low-costÂ» business model; analysis of Â«airlineÂ» activity; review of the application of data analysis methods in low-cost carriers; implementation of proposal for the segmentation of passengers of Â«PobedaÂ» airline using cluster analysis. Work is performed on the basis of materials of the Â«PobedaÂ» airline activities, available in the public domain. Methods: theoretical method, empirical method, comparative analysis, cluster analysis, data interpretation. The main results of the work: the reason for the incomplete compliance of Â«PobedaÂ» airlines with the low- cost business model is specified; the reason for Data Mining techniques application is justified; segmentation algorithm is developed; segmentation of airline passengers is hold; feasibility of own development is proved in comparison with the use of segmentation of the parent company. The practical significance of the work: more accurate customer images are formed, which allows us to build an individual approach to each group and make predictions about customer behavior in the future.