• Title/Summary/Keyword: 양적분석

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A Query Language for Quantitative Analysis on Graph Databases (그래프 데이터베이스의 양적 분석을 위한 질의 언어)

  • Park, Sung-Chan;Lee, Sang-Goo
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06a
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    • pp.77-80
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    • 2011
  • 그래프는 전산학의 주요 주제 중 하나이며 World Wide Web과 Social Network의 중요성이 커지면서 더욱 주목을 받고 있다. 그래프와 관련하여 그래프 데이터베이스에 대한 질의 모델에 관한 연구도 중요하게 다투어져 왔다. 하지만 이들 연구는 패턴 매칭을 통한 질의를 주로 다루었다. 하지만 그래프 데이터를 추천이나 검색 등의 응용하기 위해서는 PageRank 등 그래프 내의 연결 구조를 양으로 분석해내는 작업이 요구된다. 또한 SimRank 및 Random Walk with Restart 등 다양한 양적 분석 측도가 제안되고 있다. 이에 따라 본 연구에서는 Random Walk를 기반으로 하는 그래프에 대한 유연한 양적 분석을 지원하는 질의 언어를 제시한다. 또한 기존의 양적 분석 측도들이 본 질의 모델을 통하여 어떻게 표현되는지를 통하여 본 질의 모델의 유용성 및 확장성을 보인다.

Conditions and potentials of Korean history research based on 'big data' analysis: the beginning of 'digital history' ('빅데이터' 분석 기반 한국사 연구의 현황과 가능성: 디지털 역사학의 시작)

  • Lee, Sangkuk
    • The Korean Journal of Applied Statistics
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    • v.29 no.6
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    • pp.1007-1023
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    • 2016
  • This paper explores the conditions and potential of newly designed and tried methodology of big data analysis that apply to Korean history subject matter. In order to advance them, we need to pay more attention to quantitative analysis methodologies over pre-existing qualitative analysis. To obtain our new challenge, I propose 'digital history' methods along with associated disciplines such as linguistics and computer science, data science and statistics, and visualization techniques. As one example, I apply interdisciplinary convergence approaches to the principle and mechanism of elite reproduction during the Korean medieval age. I propose how to compensate for a lack of historical material by applying a semi-supervised learning method, how to create a database that utilizes text-mining techniques, how to analyze quantitative data with statistical methods, and how to indicate analytical outcomes with intuitive visualization.

Telomere의 양적 분석을 이용한 닭의 bio-marker개발

  • 조은정;최철환;전익수;박철;손시환
    • Proceedings of the Korea Society of Poultry Science Conference
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    • 2004.11a
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    • pp.13-15
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    • 2004
  • Telomeres are the end of chromosomes and consist of a tandem repeat sequence of (TTAGGG)n and associated proteins. Telomeres are essential for chromosome stability and are related with cell senescence and apoptosis. This study was carried out to analyze the amount of telomeric DNA of chicken lymphocytes, which is to considered as bio-marker. The amount of telomeric DNA of lymphocytes in Korean Native Chicken and White Leghorn was analyzed by quantitative-fluorescence in situ hybridization (Q-FISH) technique using the chicken telomeric DNA probe. Telomere quantifies were compared among breeds, ages and sex, and the relationship between the amount of telomeres and their productive trait was also analyzed. Comparing the amount of telomeric DNA on lymphocytes during growing period, the amount of telomeres was gradually decreased as growing older. The telomere quantity was also significantly different in breeds and sex. Estimating correlation coefficient, the amount of telomeres was positively correlated to sexual maturity and body weight but negatively correlated to hen day egg production and egg weight. These results implicate the telomere quantity is considered as an individual bio-marker.

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Life Experiences and Prospects of Welfare/Poverty Exit of the Poor with Work Ability: Mixed Methodology using Sequential Exploratory Design (근로능력이 있는 빈곤층의 경험과 탈수급/탈빈곤 전망에 대한 연구: 순차적 탐구전략에 따른 방법론적 융합)

  • Jo, Joon-Yong
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.19-29
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    • 2016
  • This study analyzes life experiences and prospects of poverty/welfare exit of the poor with work ability utilizing Mixed methodology. Based on Sequential Exploratory Design, it qualitatively analyzes 3 waves of qualitative panel data linked to Korea Welfare Panel Study(KWPS) and presents life changes of 14 poor in the context of their prospects of welfare/poverty exit. Then it proposes hypotheses on the role of education, household economy expectation, self-esteem in the prospects of poverty/welfare exit following the sequential exploratory design to quantitatively test qualitative findings utilizing KWPS(7th). The outcomes of the Structural Equation Model(SEM) suggest that household economy expectation plays mediating role between education and the prospects of welfare/poverty exit. This implies that anti-poverty policy needs to consider a psychological approach to enhance household economy expectations of the poor as well as other material support.

Lexical and Phrasal Analysis of Online Discourse of Type 2 Diabetes Patients based on Text-Mining (텍스트마이닝 기법을 이용한 제 2형 당뇨환자 온라인 담론의 어휘 및 구문구조 분석)

  • Hwang, Moonl-Hyon;Park, Jungsik
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.655-667
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    • 2014
  • This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.

Social Issue Analysis Based on Sentiment of Twitter Users (트위터 사용자들의 감성을 이용한 사회적 이슈 분석)

  • Kim, Hannah;Jeong, Young-Seob
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.81-91
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    • 2019
  • Recently, social network service (SNS) is actively used by public. Among them, Twitter has a lot of tweets including sentiment and it is convenient to collect data through open Aplication Programming Interface (API). In this paper, we analyze social issues and suggest the possibility of using them in marketing through sentimental information of users. In this paper, we collect twitter text about social issues and classify as positive or negative by sentiment classifier to provide qualitative analysis. We provide a quantitative analysis by analyzing the correlation between the number of like and retweet of each tweet. As a result of the qualitative analysis, we suggest solutions to attract the interest of the public or consumers. As a result of the quantitative analysis, we conclude that the positive tweet should be brief to attract the users' attention on the Twitter. As future work, we will continue to analyze various social issues.

The Effect of Tea Culture Therapy Program for the Improvement of Self-Efficacy of Juvenile Probationers (보호관찰 청소년의 자기효능감 향상을 위한 차문화치료 프로그램의 효과)

  • Kim, In-Sook
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.479-490
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    • 2014
  • The purpose of this study is to develop a tea culture therapy program development for the improvement of self-efficacy of juvenile probationers, which is a key factor of social adaptability of juvenile probationers. After developing a tea culture therapy program, this study examines the effect of the program empirically, by applying to juvenile probationers. For this purpose, this study employs an integrative approach of qualitative and quantitative methods. It is shown from the qualitative analysis that juvenile probationers' positive attitude and active participation are considerably progressed. The results from quantitative analysis indicate that the sub-dimensions of self-efficacy such as general self-efficacy and social self-efficacy are significantly improved.

Quantitative Text Mining for Social Science: Analysis of Immigrant in the Articles (사회과학을 위한 양적 텍스트 마이닝: 이주, 이민 키워드 논문 및 언론기사 분석)

  • Yi, Soo-Jeong;Choi, Doo-Young
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.118-127
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    • 2020
  • The paper introduces trends and methodological challenges of quantitative Korean text analysis by using the case studies of academic and news media articles on "migration" and "immigration" within the periods of 2017-2019. The quantitative text analysis based on natural language processing technology (NLP) and this became an essential tool for social science. It is a part of data science that converts documents into structured data and performs hypothesis discovery and verification as the data and visualize data. Furthermore, we examed the commonly applied social scientific statistical models of quantitative text analysis by using Natural Language Processing (NLP) with R programming and Quanteda.

An Analysis of Medical Articles Published Domestically and Abroad by Korean Researchers from 1960 to 2008 (국내의학자가 국내외에 발표한 의학논문 현황 분석 - 1960년부터 2008년까지 -)

  • Jang, Hae-Lan;Kang, Gil-Won;Lee, Young-Sung;Tak, Yang-Ju
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.3
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    • pp.259-277
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    • 2011
  • The purpose of this study is to analyze how the changes of evaluation standards have affected Korean medical researchers' academic performance by comparing the publication status of medical articles both domestically and abroad. A total of 314,559 domestic articles in KMbase and 53,423 articles stored in MEDLINE published abroad by Korean researchers were analyzed. All of the data were compared per year according to the research field and indexed journals by numbers and proportions of articles published domestically and abroad. The analysis showed that the number of total articles and the proportion of articles published abroad increased continuously. In the early 2000s, articles published in Korea decreased, otherwise articles published abroad increased sharply. SCI articles showed a steady increase before 2000, and continued to increase over the next few years. KCI articles also showed a rapid increase in the early 2000s while other articles were decreasing. Publication trends shown in this study were similar despite quantitative and timely differences by research area. Performance evaluations focusing on SCI articles affected on quantitative decrease in the number of total articles published domestically. Quantitative growth itself is not an absolute indicator for academic achievement. Therefore, to complement any evaluation of academic achievement, qualitative analysis needs to be done as well.