Earticle

초록

영어

Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.

목차

Abstract
1. 서론
2. 배경연구
2.1 연관규칙 마이닝
2.2 분류와 예측 마이닝
3. 운동량 분석을 위한 마이닝 시스템 모델링
3.1 신상 정보 입력 모듈
3.2 운동량 관리 모듈
3.3 데이터 마이닝을 위한 전처리기
3.4 연관규칙 모듈
3.5 군집분석 모듈
3.6 분류 모듈
4. 결론
5. 참고문헌

키워드

저자

• 이순근 [ 강릉원주대학교 산업정보경영공학과 ]
• 임영문 [ 강릉원주대학교 산업정보경영공학과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회 학술대회논문집

• 간기

  부정기

• 수록기간

  1999~2022

• 십진분류

  KDC 530 DDC 620