메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

A study on the classification of importance variables in a digital divide data using machine learning
Recommendations
Search
Questions

머신러닝을 활용한 정보격차 실태조사 자료의 중요도 변수 분류에 관한 연구

논문 기본 정보

Type
Academic journal
Author
Kwang Yoon Song (조선대학교) Youn Su Kim In Hong Chang (조선대학교)
Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.33 No.2 KCI Excellent Accredited Journal
Published
2022.3
Pages
177 - 193 (17page)
DOI
10.7465/jkdi.2022.33.2.177

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
A study on the classification of importance variables in a digital divide data using machine learning
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
Today, with the development of computers and the Internet, it is possible to obtain information faster and easier than in the past through the information age. However, it is difficult for everyone to obtain the same information or collect information suitable for them. There is a very large difference depending on the level of using smart devices, and among them, the class that has difficulty in not being able to use a PC or smart device is called the information underprivileged class. In this study, based on the survey data surveyed by the National Information Society Agency for 3 years from 2018 to 2020, we proposed a model for classifying the general public and the people belonging to the information underprivileged class by using the machine learning methods Random Forest and Support Vector Machine. In addition, variables that have a significant effect on the classification between each class were calculated. The importance variables were age and job, PC Competence, PC & Smart Phone Competence. Based on the above results, We suggested a plan to reduce the gap between the general public and the information unprivileged class.
#랜덤포레스트 #머신러닝 #서포트벡터머신 #정보격차 #Digital divide #machine learning #random forest #support vector machine

Contents

요약
1. 서론
2. 연구방법
3. 데이터 소개
4. 수치적 예제
5. 결론
References
Abstract

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

The Potential of Smart Media for Bridging the Digital Divide in Older Adults : Focusing on Digital Economic Activities
Soyoung Pa ,  k ,  Chang Hee Pa Journal of communication research 2023 .02
Metabolic Diseases Classification Models according to Food Consumption using Machine Learning
Jun Ho Hong ,  Kyung Hee Lee ,  Hye Rim Lee and others 2 JOURNAL OF THE KOREA CONTENTS ASSOCIATION 2022 .03
Comparative Analysis of Digital Divide Technology Trends by Country through Patent Information
Se-Jin Pa ,  k ,  Dongphill Chun JOURNAL OF THE KOREA CONTENTS ASSOCIATION 2024 .07
Digital Transformation Era, Middle-Aged and Elderly’s Household Type and Life Satisfaction: The Mediating Effect of Digital Usage Levels
Tae-Yong Kim Journal of the Korea Academia-Industrial cooperation Society 2024 .05
Effect of Digital Assistance on Digital Information Utilization of the disabled elderly through Technological Self-Efficacy: Focusing on the 2022 Digital Information Gap Survey
Jung-Mi Lim ,  Hyun-Bin Seo ,  Eun-Seon Joo JOURNAL OF THE KOREA CONTENTS ASSOCIATION 2023 .12

Recently viewed articles

A Study on Developing the Contents of Historical Education Using Social Network Analysis
Hye-Jeong Yun, Hee-Chang Seo, Eun-Soo Park 외 5명The Korea Contents Society2015.06
 Effects of the Revision of the Chinese Patent Law and the Introduction of the Patent-approval Linkage System on the Pharmaceutical Industry
Shin Hyea-un, Bu Zhen ZhenKorea Intellectual Property Society ; KIPS2021.10
 Modernism and Ghost stories over the Colonial Korea －Focusing on the real story emphasis and the spiritual discourse seen in the ghost stories of japanese living in the colonial korea－
나카무라 시즈요2017
 Experience and understanding of the development of teaching professionalism for experienced Korean teachers at in-depth period
LEE, SUNYOUNG2018

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2022-041-001154691