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

Utilizing Purely Symmetric J Measure for Association Rules
Recommendations
Search

연관성 규칙의 탐색을 위한 순수 대칭적 J 측도의 활용

논문 기본 정보

Type
Academic journal
Author
Journal
The Korean Data Analysis Society Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제20권 제6호 KCI Accredited Journals
Published
2018.1
Pages
2,865 - 2,872 (8page)

Usage

cover
Utilizing Purely Symmetric J Measure for Association Rules
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
In the field of data mining technique, there are various methods such as association rules, cluster analysis, decision tree, neural network. Among them, association rules are defined by using various association evaluation criteria such as support, confidence, and lift. Agrawal et al. (1993) first proposed this association rule, and since then research has been conducted by many scholars. Recently, studies related to crossover entropy have been published (Park, 2016b). In this paper, we proposed a purely symmetric J measure considering directionality and purity in the previously published J measure, and examined its usefulness by using examples. As a result, it is found that the pure symmetric J measure changes more clearly than the conventional J measure, the symmetric J measure, and the pure crossover entropy measure as the frequency of coincidence increases. The variation of the pure symmetric J measure was also larger depending on the magnitude of the inconsistency, and the presence or absence of the association was more clearly understood.
#association rule #data mining #J measure #purely symmetric J measure #symmetric J measure.

Contents

No content found

References (9)

Add References
Agrawal, R. / 1993 / Mining association rules between sets of items in large databases / Proceedings of the ACM SIGMOD Conference on Management of Data :207~216 google schola 전익진 / 2014 / 연관 규칙 분석을 이용한 시청률 분석 연구: 지상파 드라마를 중심으로 / 한국언론학보 58(5):391~416 dbpia 박희창 / 2013 / 상대적 발생/비발생 비율을 고려한 연관성 평가 기준의 모형 개발 / Journal of The Korean Data Analysis Society 15(4):1841~1850 dbpia 박희창 / 2014 / 분류 모형 구축에 유용한 신뢰도 측도 간의 비교 / 한국데이터정보과학회지 25(2):365~371 dbpia 박희창 / 2016 / 엔트로피 기반 연관성 평가 기준의 제안 / Journal of The Korean Data Analysis Society 18(4):1905~1914 dbpia

Recommendations

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

Related Authors

Recently viewed articles

Relationship between health risk behaviors, oral health-related behaviors, and experiences of oral symptoms in Korean adolescents: based on 2018 Korea Youth Risk Behavior Web-based Survey
Jeong Sun-Rak, Jang ji Eon2019

Comments(0)

0

Write first comments.