• 제목/요약/키워드: Data trend analysis

검색결과 3,057건 처리시간 0.028초

텍스트마이닝 기법을 이용한 국내 농식품유통 연구동향 분석 (A Trend Analysis of Agricultural and Food Marketing Studies Using Text-mining Technique)

  • 유리나;황수철
    • 한국산학기술학회논문지
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    • 제18권10호
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    • pp.215-226
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    • 2017
  • 이 연구는 1984~2015년간 국내 농식품 유통분야 연구동향을 파악하기 위해 텍스트마이닝 기법을 이용한 분석 결과이다. 텍스트마이닝은 빅데이터 분석방법의 일환으로, 많은 정보를 객관적으로 처리하여 연구주제 분류와 트렌드 분석에 이용할 수 있다. 실제분석에는 빈도분석, 토픽분석, 연관성분석을 수행하였다. 자료는 농업부문 4개 학술지 수록논문과 연구보고서 중 농식품 유통 관련 연구 제목를 이용하였다. 그 결과, 농식품 유통분야의 논문 1,126건은 6개 주제로 분류되었다. 2000년대를 기점으로 이전에는 도매와 산지연구가 활발했던 반면 이후에는 소비, 식품, 수출입 연구가 활발한 것으로 나타났다. 또한 로컬푸드와 학교급식 영역의 연구가 증가했다. 농산물 수급연구는 정책 연구보고서에서만 주기적으로 이루어졌으며, 학술논문에서는 2000년대 이후 관심주제에서 멀어지는 경향을 보였다. 2010년대 이후로는 특히 소비연구가 주류를 이루었고, 크게 소비트렌드와 소비자 행동에 관한 다양한 연구가 이루어졌다. 이 결과를 바탕으로 더 정확한 연구동향 분석을 하기위해서는, 정밀한 주제 분류기법으로 방법론을 보완하고 이용 자료를 키워드와 논문초록으로 확대함으로써 구체적인 결과를 도출해야 할 것이다.

공공 빅데이터 기반의 식품 가격 정보 분석 시스템의 설계 및 구현 (Design and Implementation of a Food Price Information Analysis System Based on Public Big Data)

  • 임종태;이현병;복경수;유재수
    • 한국콘텐츠학회논문지
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    • 제22권7호
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    • pp.10-17
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    • 2022
  • 최근 4차 산업혁명이 이슈가 되며 빅데이터를 이용한 많은 서비스들이 개발됐다. 이에 따라 빅데이터 중에서도 가장 가치 있는 데이터로 여겨지는 공공 데이터를 활용하기 위한 연구들이 진행되고 있다. 본 논문에서는 공공 빅데이터 기반의 식품 가격 정보 분석 시스템을 설계하고 구현한다. 제안하는 시스템은 다양한 출처로부터 다양한 형태로 수집되는 식품 가격 관련 데이터를 분석하여 특징에 따라 분류한다. 또한 제안하는 시스템은 빅데이터 분석 기법을 통해 식품의 가격에 영향을 미치는 요인을 분석하여 가까운 미래의 식품 가격을 예측하기 위한 자료로 활용한다. 마지막으로 제안하는 시스템은 데이터 시각화를 통해 분석된 결과를 사용자에게 제공한다.

A Study on E-business Possibility through the Characteristic Analysis of Smart Phone Market in South Asia : Focusing on Vietnam

  • Kim, Dong-Hwa;Sung, Seo-Dae
    • 동아시아경상학회지
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    • 제5권3호
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    • pp.33-40
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    • 2017
  • Purpose - This paper suggests approaching methods for a way of strategies for traditional market extend and new ebusiness, market development, and plan of new product in the future and develop a way of method for cooperation through analysis on the smart phone market trend in different culture, effectively. Research design, data, methodology - As research design, data, and methodology, this paper suggests new idea and approaches from comparing characteristics analysis of smart phone market in different culture in AEC. This paper takes data to analysis from ITU, World Bank, AEC, and IMF. These organizer's data can be trusted as official society in the world. This paper can prove market and the characteristics of society through the corresponding results. Results - This paper can suggest the novel idea on market development and the big possibility depend on ACE country and can describe the possibility on new market because of low smart phone market penetration and low digital market penetration. Conclusions - This paper concludes to develop e-business, culture friendly ship, linking with education, development of appropriate technology depend on country, and should develop new strategy for market extend to low penetration.

한국의료패널 데이터를 활용한 공동연구 동향 분석: 공동 연구자들 연결망 구조를 중심으로 (A Study on the Trend of Collaborative Research Using Korean Health Panel Data: Focusing on the Network Structure of Co-authors)

  • 엄혜미;이현주;최승은
    • Journal of Information Technology Applications and Management
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    • 제25권4호
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    • pp.185-196
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    • 2018
  • This study investigates the social network among authors to improve the quality of Panel researches. Korea Health Panel (KHP), implemented by the collaborative work between KIHASA (Korea Institute for Health and Social Affairs) and NHIC (National Health Insurance Service) since 2008, provides a critical infrastructure for policy making and management for insurance system and healthcare service. Using bibliographic data extracted from academic databases, eighty articles were extracted in domestic and international journals from 2008 to 2014, April. Data were analyzed by NetMiner 4.0, social network analysis software, to identify the extent to which authors are involved in healthcare use research and the patterns of collaboration between them. Analysis reveals that most authors publish a very small number of articles and collaborate within tightly knit circles. Centrality measures confirm these findings by revealing that only a small percentage of the authors are structurally dominant, and influence the flow of communication among others. It leads to the discovery of dependencies between the elements of the co-author network such as affiliates in health panel communities. Based on these findings, we recommend that Korea Health Panel could benefit from cultivating a wider base of influential authors and promoting broader collaborations.

미국 남부지역의 도시화로 인한 강수변화 연구에 대한 경향면 분석의 적용 (Application of trend surface analysis(TSA) to a precipitation modification study over urban areas in the southern United States of America)

  • ;;최영은
    • 대한지리학회지
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    • 제30권4호
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    • pp.333-351
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    • 1995
  • 미국 남서부 지역의 5개 도시 즉 텍사스 주의 Houston, Dallas 및 San Antonio, 루이지애나주의 New Orleans 그리고 테네시주의 Memphis에서 강수의 자연적 경향과 강수에 미치는 도시의 영향을 파악하기 위하여 경향면 분석 (Trend surface analysis, TSA)을 시도하였다. 분석기간은 1961년부터 1990년까지 3O 년간이다. 사용한 자료는 월강수량, 계절강수량 그리고 연강수량이다. Houston을 제외한 4개 도시에서는 겨울철과 봄철에 비하여 여름철과 가을철에 보다 큰 경향값을 보였다. 월별 분 석에서는 11월부터 3월까지 기간에 4월부터 10월까지 기간에 보다 현저한 경향을 나타냈다. 자연적 강수의 변동을 제거한 후의 잔차도를 보면, Houston, Dallas, San Antonio등지에서 는 여름철에 도시와 풍하지역에서 양의 잔차값을 보이고 있는데 이러한 현상은 다른 계절에 비하여 여름철에 도시의 영향으로 인한 강수가 더 많아지고 있음을 의미하는 것이다. Memphis와 New Orleans의 여름철 잔차도에서는 도시의 영향에 기인하는 강수의 현저한 증가를 발견할 수 없었다. New Orleans의 6월과 Memphis의 7월 잔차도에서는 도시에서는 양의 값을 보였으나 다른 도시에 비해 그 규모가 크지 않았다.

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전국 도시대기 측정망의 2000~2005년 PM10 농도 군집분석 (Cluster Analysis of PM10 Concentrations from Urban Air Monitoring Network in Korea during 2000 to 2005)

  • 한지현;이미혜;김영성
    • 한국대기환경학회지
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    • 제24권3호
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    • pp.300-309
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    • 2008
  • Variations in PM10 concentration between 2000 and 2005 from 84 urban air monitoring stations operated by the government were analyzed. The K-means cluster analysis was attempted using annual average and the 99th percentile of daily averages as parameters. The results obtained by excluding Asian dust episode days were compared with those obtained by using all available data. In any cases, the cluster with the highest mean concentration was mostly composed of stations in Seoul and Gyeonggi. Annual average of the cluster with the highest mean concentration showed a distinct decreasing trend, but that excluding Asian dust episode days did not show such a trend. Without Asian dust episode days high concentrations of monthly averages in March and April were also not observed. The effect of Asian dust was more pronounced in the 99th percentile of daily averages. The 99th percentile of daily averages of the cluster with the highest mean concentration was the highest in June following downs in April and May.

외모에 대한 사회문화적 태도가 남성 소비자의 의복구매행동과 외모관리행동에 미치는 영향 (The Effects of Sociocultural Attitudes toward Appearance on Male Consumers' Apparel Buying Behavior and Appearance Management Behavior)

  • 이미숙
    • 한국의상디자인학회지
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    • 제16권3호
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    • pp.15-31
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    • 2014
  • The purpose of this study was to investigate the effects of sociocultural attitudes toward appearance on male consumers' apparel buying behavior and appearance management behavior. The subjects were 353 males aged from 40 to 59 years old. The research method was a survey and the questionnaire consisted of sociocultural attitude toward appearance items, apparel buying behaviors items, appearance management behaviors items, and subjects' demographic characteristics items. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, multiple response analysis, ${\chi}2$ test, ANOVA and Duncan's multiple range test. The results were as follows. Three dimensions (appearance importance awareness, slimness importance awareness, internalization) were emerged on sociocultural attitude toward appearance, and subjects were divided into 4 groups(receptive, unreceptive, awareness, and internalized group) by this variable. The 4 groups by sociocultural attitude toward appearance showed many differences on apparel buying behaviors and appearance management behaviors. Receptive and internalized group more importantly regarded fashion trend and store display as apparel buying motives, design and trend as selection criteria, and did shopping to buy clothes more often than awareness and unreceptive group. Receptive and internalized group recognized higher the need for various appearance management behaviors and spent more expense to enhance their appearance than other groups.

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난임 변증진료 현황 및 난임변증설문지 개발에 관한 연구 (Analysis of Korean Traditional Medicinal Treatment Trend of Infertility and Development of Questionnaire for Infertility Treatment)

  • 최창민;김수현;송미화;황덕상;조한백;김동일
    • 대한한방부인과학회지
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    • 제29권2호
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    • pp.29-46
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    • 2016
  • Objectives : The aim of this study is development of questionnaire for pattern identification of infertility and analysis of infertility treatment trend in korean traditional medicine. Methods : Data was collected by survey papers from 19 professors of the society of korean obstetrics and gynecology. We surveyed on pattern identifications, symptoms and prescriptions of infertility treatment, diagnosis of ovulation and pregnancy, and duration of infertility treatment. Results : By analysis of survey papers, We choose Kidney yang deficiency, Kidney yin deficiency, Blood deficiency, Liver depression, Dampness-phlegm, Dampness-heat, Static blood pattern for infertility treatment. And 41 items of questionnaire were chosen. Conclusions : We developed the questionnaire for pattern identification of infertility. And further research is necessary for improvement reliabilities and validities of the questionnaire of infertility.

패션잡지 마케팅 전략을 위한 라이프스타일 유형에 따른 소비자 행동연구 (A Study on Consumer Behaviors by Types of Lifestyle for Fashion Marketing Strategy)

  • 김칠순;이진
    • 한국의류학회지
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    • 제31권11호
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    • pp.1500-1509
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    • 2007
  • The purpose of this study was to observe lifestyle of female consumers aged 15-25. Also it was to measure brand awareness, to determine purchase criteria in fashion magazine, and to determine promotion preferences according to lifestyle segmentation variables. We distributed 600 questionnaires and 475 reliable questionnaires were used for a statical analysis. Data analyses were conducted with SPSS program on the frequency mean value, Chi-square test, Cluster analysis, and Factor analysis. We classified four clusters such as individual style seekers, trend seekers, promotion/good appearance seekers, and low fashion interest group, based on lifestyle variables. There was a significant difference in brand awareness in Vogue Girl, Cosmo Girl, Elle, Figaro, Ecole magazine among four clusters. There was a significant difference in such purchase criteria as favorable cover models, good "burok" which is a magazine supplement, brand names, and price among four clusters. In addition, the results of ANOVA represent that there was a significant difference in preferred types of promotion such as discount price, clothing gifts, fashion accessary gifts and hair tool gifts. However, the first ranked preferred one was a cosmetic gift in all the magazines, which favored more by trend seeker group.

선행연구 키워드 분석을 통한 건설 프로젝트의 성과측정 및 관리분야의 연구 트렌드 분석 (Research Trend Analysis in the Performance Measurement and Monitoring of Construction Projects through Keyword Analysis)

  • 김창원;김태훈;임현수
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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    • pp.171-172
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    • 2018
  • Performance measurement and management in the construction industry has traditionally been regarded as the major factor for successful business execution. In addition, there is emphasis on the function of performance measurement and management that can early warn potential risks and poor performance in project execution environment changes. Previous studies have made various attempts to measure the quantitative performance of construction projects, and the research to derive the link between the results and the issue that can meet the future needs is expected to provide valuable information. The purpose of this study is to analyze the research trends based on the keywords presented in previous studies on the performance measurement and management of construction projects. Considering that the results presented in the existing literature can be an indicator of the evolution of the sector before it is applied to industry, the result of this study is expected to be used as a basic data to support the establishment of research direction in the future.

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