Мельникова, Марина Юрьевна. Прогнозирование оттока клиентов финансовой компании методами datamining [Электронный ресурс]: выпускная квалификационная работа магистра: 09.04.03 - Прикладная информатика ; 09.04.03_04 - Прикладная информатика в области информационных ресурсов = Forecasting the customer churn of a financial company using datamining / М. Ю. Мельникова; Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий ; науч. рук. И. Н. Белых ; консультант по нормоконтролю О. В. Колосова. — Электрон. текстовые дан. (1 файл : 1,5 Мб). — Санкт-Петербург, 2019. — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/vr19-959.pdf>. — <URL:http://doi.org/10.18720/SPBPU/3/2019/vr/vr19-959>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-959-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-959-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2019/vr/rev/vr19-959-a.pdf>.
|
Period
|
Read
|
Print
|
Copy
|
Open
|
Total
|
|
Year 2019
|
Quarter 3
|
September
|
2
|
0
|
0
|
0
|
2
|
|
Quarter 4
|
October
|
10
|
0
|
0
|
0
|
10
|
|
November
|
5
|
0
|
0
|
0
|
5
|
|
December
|
4
|
0
|
0
|
0
|
4
|
|
Year 2020
|
Quarter 1
|
January
|
2
|
0
|
0
|
0
|
2
|
|
February
|
5
|
0
|
0
|
0
|
5
|
|
March
|
3
|
0
|
0
|
0
|
3
|
|
Quarter 2
|
April
|
2
|
0
|
0
|
0
|
2
|
|
May
|
4
|
0
|
0
|
0
|
4
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
1
|
0
|
1
|
|
Year 2021
|
Quarter 1
|
January
|
0
|
0
|
1
|
0
|
1
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
1
|
0
|
0
|
0
|
1
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 4
|
October
|
1
|
0
|
0
|
0
|
1
|
|
November
|
1
|
0
|
0
|
0
|
1
|
|
December
|
2
|
0
|
0
|
0
|
2
|
|
Year 2023
|
Quarter 1
|
January
|
2
|
0
|
0
|
0
|
2
|
|
February
|
1
|
0
|
0
|
0
|
1
|
|
March
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Total
|
51
|
0
|
2
|
0
|
53
|
