Please use this identifier to cite or link to this item: https://essuir.sumdu.edu.ua/handle/123456789/91154
Or use following links to share this resource in social networks: Recommend this item
Title Information Technology for Suicidological Data Mining
Other Titles Інформаційна технологія інтелектуального аналізу суїцидологічних даних
Authors Hojo, O.J.
ORCID
Keywords Data Mining
Python
programming language
gender-based
age-based
mental health based suicide
Type Masters thesis
Date of Issue 2022
URI https://essuir.sumdu.edu.ua/handle/123456789/91154
Publisher Sumy State University
License Copyright not evaluated
Citation Hojo O. J. Information Technology for Suicidological Data Mining : master's thesis : specialty 122 - computer science / head I. V. Shelehov. Sumy : Sumy State University, 2022. 50 p.
Abstract A complex of methods and algorithms for defining the top causes of suicide among adult, gender-based, age-based, mental health based suicide was proposed. Program implementation was done by Python Programming Language. Data sets from 1987 to 2014 were analyzed.
Appears in Collections: Кваліфікаційні роботи здобувачів вищої освіти (ЕлІТ)

Views

Belarus Belarus
1
Belgium Belgium
38
China China
1
Cuba Cuba
5
Germany Germany
78
Ireland Ireland
10
Netherlands Netherlands
1
Nigeria Nigeria
1
Russia Russia
20529
Singapore Singapore
1
Ukraine Ukraine
228366
United Kingdom United Kingdom
1134
United States United States
4223391
Unknown Country Unknown Country
1986610

Downloads

Belarus Belarus
1
Canada Canada
6
China China
1
Germany Germany
1508081
Netherlands Netherlands
1
Nigeria Nigeria
1
Spain Spain
1
Ukraine Ukraine
228367
United Kingdom United Kingdom
1
United States United States
4223392

Files

File Size Format Downloads
Hojo_mag_rob.pdf 1,03 MB Adobe PDF 5959852

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.