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| Title | Information Technology for Suicidological Data Mining |
| Other Titles |
Інформаційна технологія інтелектуального аналізу суїцидологічних даних |
| Authors |
Hojo, O.J.
|
| 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) |
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| File | Size | Format | Downloads |
|---|---|---|---|
| Hojo_mag_rob.pdf | 1,03 MB | Adobe PDF | 13 |
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