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

An Analysis of Game Strategy and User Behavior Pattern Using Big Data: Focused on Battlegrounds Game
Recommendations
Search
Questions

빅데이터를 활용한 게임 전략 및 유저 행동 패턴 분석: 배틀그라운드 게임을 중심으로

논문 기본 정보

Type
Academic journal
Author
Ha-Na Kang (한림대학교) Hye-Ryeon Yong (한림대학교) Hyun-Seok Hwang (한림대학교)
Journal
Korea Game Society Journal of Korea Game Society Vol.19 No.4 KCI Accredited Journals
Published
2019.8
Pages
27 - 35 (9page)
DOI
10.7583/JKGS.2019.19.4.27

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
An Analysis of Game Strategy and User Behavior Pattern Using Big Data: Focused on Battlegrounds Game
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.
#Game data(게임 데이터) #Battlegrounds(배틀그라운드) #Big data(빅데이터) #User behavior(사용자 행동) #Game strategy(게임 전략)

Contents

요약
ABSTRACT
1. Introduction
2. Related Works
3. Research Procedure
4. Data Analysis
5. Results
6. Conclusion
REFERENCES

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

Battle Recommendation Algorithm for Playerunknown’s Battleground Game
Hye-Min Pa ,  k ,  Hae-Won Byun Journal of Digital Contents Society 2018 .11
소셜 네트워크 분석을 활용한 리그 오브 레전드 추천 시스템 개발 승리를 위한 팀원 및 캐릭터 추천 알고리즘
김한결 ,  노여명 ,  이정혜 대한산업공학회 추계학술대회 논문집 2018 .11
A Study of Analyzing Realtime Strategy Game Data using Data Mining
Yong ,  Hye-Ryeon ,  Kim Journal of Korea Game Society 2015 .08
FPS 게임의 성공요인 분석 : 배틀그라운드, 카운터스트라이크, h1z1를 통한
강호준 ,  박선빈 ,  김지수 and others 1 한국지능정보시스템학회 학술대회논문집 2017 .11
Development of game indicators and winning forecasting models with game data
Jimin Ku ,  Jaehee Kim Journal of the Korean Data And Information Science Society 2017 .03

Recently viewed articles

중국 애국주의의 실체:신중화주의, 중화패권주의, 민족주의
김희교Yuksabipyungsa2006.05
 Dynamic Interaction Analysis between Maglev Train with Airgap Control Algorithm Based on Acceleration Feedback and Guideway
이진호, Sungil Kimundefined2016
 청소년 자원봉사활동의 효과성에 관한 연구
김동배, 조학래Korean Academy Of Social Welfare1997.04

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2019-050-000987832