ScholarWorks@Sookmyung Women's University: Kim, Min Jeong

Detailed Information

Kim, Min Jeong (김민정)

사회과학대학 (소비자경제학과)

Research Area

Tel 02-2077-7818
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

빈도분석:5||Text mining:4||Frequency Analysis:4||신문기사:4||텍스트마이닝:4||DMB:4||Text Mining:3||국민노후보장패널:3||KReIS:3||소득5분위:2||logistic regression:2||support vector machines:2||machine learning:2||IPTV:2||Income quintile:2||artificial neural network:2||News articles:2||토픽모델링:2||News Articles:2||속성별 만족도:2||베이비부머 가계:2||Korea National Health and Nutrition Examination Survey:2||Consumer policy’s trend:1||Consumption Expenditure Patterns:1||Consumption Expenditure Volumes:1||Consumption patterns:1||Convenience store:1||Correspondence analysis:1||Creative Convergence:1||Critical peak pricing:1||Criticalpeak pricing (CPP):1||Cross tabulation analysis:1||Curriculum Activities:1||Demand response:1||Demand response (DR) program:1||Elderly Households:1||Energy Consumption survey:1||Exaggerated Advertisements:1||FMC:1||Factor analysis:1||False Advertisements:1||Fashion design:1||FinTech:1||Finance:1||Forecasting:1||Frequency analysis:1||General and industrial tariff:1||Household electricity consumption:1||Household energy consumption sample survey:1||Hypertension prediction model:1||Inhouse pricing model:1||Kmeans clustering:1||Korea Media Panel Survey:1||Latent Dirichlet allocation:1||Logistic Regression Analysis:1||Media credibility:1||Mobile Phone:1||Mobile Video Services:1||Mobile phone sales:1||Mobile portal news:1||Mobile video services:1||Multiple regression:1||Network analysis:1||Nil:1||NonFacetoFace:1||Nonlinear regression model:1||Overseas Direct Purchase:1||PB foods:1||Past Korean presidents:1||Peak to offpeak ratio:1||Peaktooffpeak usage ratio (POR):1||Pervasive:1||Preferred type:1||Pricebased program:1||QuantiFERONGold InTube assay (QFTGIT):1||Quintile Joint distribution:1||Research trends:1||Sshaped diffusion model:1||Satisfaction:1||Sectoral analysis:1||Security:1||Semantic network analysis:1||Sentiment Analysis:1||Smartwatch:1||Social Network Analysis:1||Social Network Service:1||TBAg:1||TV Contents Broadcasting Status:1||TV contents:1||Term ‘consumer’:1||Topic Modeling:1||Topic modeling:1||Total Satisfaction:1||UICC:1||Usage and attitude:1||Use motivation:1||User Interface:1||Wealth quintile:1||Wearable:1||Wearable Technology:1||Willingness to pay:1||academic persistence:1||active tuberculosis:1||adult learners:1||age:1||attribute level satisfaction:1||babyboomer households:1||big data (빅데이터):1||cardiovascular disease prediction model:1||cluster analysis based on consumption expenditure:1||consumption expenditure patterns:1||dropout:1||elderly:1||electricity consumption:1||fashion trend (패션 트렌드):1||fashion trend forecasting (패션 트렌드 예측):1||higher distance education:1||interferongamma release assay (IGRA):1||latent tuberculosis:1||logistic regressions analysis:1||new senior:1||news article analysis (뉴스기사 분석):1||single persons:1||smartwatch:1||text mining (텍스트 마이닝):1||use diversity/usage:1||‘Tradition’ Terminology:1||‘소비자’ 개념 변화:1||‘소비자’ 용어:1||‘전통’ 용어:1||“Journal of Architectural History”:1||“건축역사연구” 학술지:1||감성분석:1||건축역사 용어:1||고혈압 예측모델:1||과장광고:1||교육과정:1||교차분석:1||국민건강영양조사:1||군집분석:1||금융:1||네트워크분석:1||뉴시니어:1||대응일치분석:1||대학생:1||로지스틱 회귀:1||로지스틱 회귀분석:1||머신러닝:1||모바일 동영상 서비스:1||모바일 동영상 서비스 사용다양성/사용정도:1||바이그램 분석:1||베이비부머 세대:1||베이비붐 세대:1||베이비붐 이전 세대:1||분야별 분석:1||비대면:1||서포트 벡터 머신:1||선호 유형:1||성인학습자:1||소비지출구조:1||소비지출규모:1||소비지출패턴:1||소비지출패턴별 군집:1||소비지출패턴별 집단:1||소셜네트워크분석:1||소셜네트워크서비스:1||스마트워치:1||연관 관계 분석:1||연관어 분석:1||연구동향:1||원격고등교육:1||웨어러블:1||웨어러블 테크놀로지:1||이용 동기:1||인공신경망:1||자산5분위:1||잠재 디리클레 할당:1||전반적 만족도:1||중도탈락:1||지상파 방송 콘텐츠:1||지상파 콘텐츠 제공여부:1||창의융합:1||텍스트 마이닝:1||패션 디자인:1||핀테크:1||학업지속:1||1st quantile:1||허위광고:1||5th quantile:1||5분위 결합분포:1||Adaptive inhouse pricing model:1||Architectural history terminology:1||Association Analysis:1||Association analysis:1||Association rule:1||Attribute Level Satisfaction:1||BSC (Balanced Score Card):1||Baby boomer households:1||Babyboomer Households:1||Babyboomer households:1||Bigram Analysis:1||Brand preference:1||Business Performance:1||Change in ‘consumer’ concept:1||Cluster analysis:1||Cluster analysis based on consumption expenditure patterns:1||College Students:1||Commercial and industrial tariff:1||Consumer policy's trend:1||

STATISTICS: Total View :6,542,292; Today View :1,587

RSS_1.0 RSS_2.0 ATOM_1.0

Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE