• 정보보호뉴스
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• no.9 s.132
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• pp.22-24
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• 2008

개인정보보호에 대한 관심과 사회적 이슈는 국내뿐만이 아니라, 전 세계적인 공동의 관심사로 떠오른지 오래다. 국제기구가 프라이버시 보호 법안을 제정해 각국 정부에 권고하는 한편, 개인정보보호, 프라이버시 보호와 비즈니스의 연관관계를 분석하는 시도가 늘어나고 있다. 국제적인 컨설팅 그룹 딜로이트에서 보안 프라이버시와 데이터 보호 분야를 맡고 있는 Ken DeJarnette에게 비즈니스와 개인정보 및 프라이버시 보호의 연관성에 대해 다양한 조언을 요청했다.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.123-141
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• 2021

As the dependence of technology on the economic structure increases, the importance of National Core Technology is increasing. However, due to the nature of the technology itself, it is difficult to determine the scope of the technology to be protected because the scope of the relation is abstract and information disclosure is limited due to the nature of the National Core Technology. To solve this problem, we propose the most appropriate literature type and method of analysis to distinguish important technologies related to National Core Technology. We conducted a pilot test to apply TF-IDF, and LDA topic modeling, two techniques of text mining analysis for big data analysis, to four types of literature (news, papers, reports, patents) collected with National Core Technology keywords in the field of Display industry. As a result, applying LDA theme modeling to patent data are highly relevant to National Core Technology. Important technologies related to the front and rear industries of displays, including OLEDs and microLEDs, were identified, and the results were visualized as networks to clarify the scope of important technologies associated with National Core Technology. Throughout this study, we have clarified the ambiguity of the scope of association of technologies and overcome the limited information disclosure characteristics of national core technologies.

• Korea journal of population studies
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• v.33 no.1
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• pp.103-131
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• 2010

This study observes how the conjugal sharing of the roles such as breadwinning, housework/childcare, and leisure activities affects wives' marital satisfaction, and how the relationships among the considered variables are similar or different across age categories. Two dependent variables, the relationship satisfaction and the marital happiness, are measured and estimated as the concept of the marital satisfaction. Analysed is the Korean Longitudinal Survey of Women and Families 2008 collected by Korean Women's Development Institute. Among women in the ages of 30s-50s, full-time housewives with the breadwinning husbands feel happier with their marriage than the wives in dual career families, and those in dual career families are happier than the breadwinning women with the househusbands. Among the women in their 40s, the highest relationship satisfaction is reported by the those of the dual career families. Wives in their 30s prefer equal division of familywork in explaining the relationship satisfaction, while wives in the age of 40s and 50s show only the effect of reducing wives' portion. The co-spousal leisure activity is consistently significant in its positive relationship with the marital satisfaction across the age categories. There is a general tendency that the marital satisfaction is the highest in the youngest age bracket and the lowest in the oldest. For managing better marriages, individual efforts of both spouses as well as social support are required.

• Mineral and Industry
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• v.21 no.2
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• pp.40-48
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• 2008

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.297-315
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• 2013

This study aims to analyze and evaluate term suggestion services of major search portals, Naver and Google Korea. In particular, this study evaluated relevance and currency of related search terms provided, and analyzed characteristics such as number and distribution of terms, and queries that did not produce terms. This study also analyzed types of terms in terms of the relationship between queries and terms, and investigated types and characteristics of harmful terms and terms with grammatical errors. Finally, Korean queries and English queries, and popular queries and academic queries were compared in terms of the amount and relevance of search terms provided. The results of this study show that the relevance and currency of Naver's related search terms are somewhat higher than those of Google. Both Naver and Google tend to add terms to or delete terms from original queries, and provide identical search terms or synonym terms rather than providing entirely new search terms. The results of this study can be implemented to the portal's effective development of term suggestion services.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.3-6
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• 2012

본 연구의 목적은 도서관 이용자들의 일상생활에서 공간들이 어떠한 관계성을 가지고 이용되는지를 분석하는 것이다. 관계성을 파악하기 위한 데이터로 미국 Puget Sound Region Transportation Department에서 수집한 Household Travel Survey 데이터를 이용하였다. 데이터 분석을 위한 도구로 소셜 네트워크 분석도구 중의 하나인 NodeXL을 사용하였다. 분석결과 선행연구에서와 유사하게 슈퍼마켓, 레스토랑, 쇼핑몰 등이 도서관 이용과 공간적으로 연관성이 있음이 나타났다. 또한 전체 이용자의 분석결과와 비교하여 도서관 이용자만이 가지고 사회적 공간이용의 특성을 발견되었고 도서관 정책개발에 이러한 특성이 반영될 필요가 있음을 제안하였다.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.53-76
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• 2013

This paper analyzed on the relationship between R&D productivity of renewable energy and the Emissions Trading Scheme using OECD's country-specific patents and R & D input data. We empirically tested whether this R & D productivity has been substantially improved before and after the implementation of the emissions trading scheme and whether emission trading scheme has been promoted technology progress of renewable energy. Analytical methods used in this study, Negative Binomial Models which was proposed by Hausman et al. (1984). According to the results of this analysis, the R & D productivity of renewable energy was improved by emissions trading scheme, which was statistically significant at the 99% confidence interval [CI]. The R&D productivity of renewable energy was higher in Annex I countries. This research is significant in that R&D productivity was analyzed in associated with the emission trading scheme rather than it was analyzed by simply comparing R&D productivity.

• Tunnel and Underground Space
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• v.25 no.4
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• pp.303-319
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• 2015

Text mining is one of the branches of data mining and is used to find any meaningful information from the large amount of text. In this study, we analyzed titles and keywords of two SCI journals on rock engineering by using text mining to find major research area, trend and associations of research fields. Visualization of the results was also included for the intuitive understanding of the results. Two journals showed similar research fields but different patterns in the associations among research fields. IJRMMS showed simple network, that is one big group based on the keyword 'rock' with a few small groups. On the other hand, RMRE showed a complex network among various medium groups. Trend analysis by clustering and linear regression of keyword - year frequency matrix provided that most of the keywords increased in number as time goes by except a few descending keywords.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.292-294
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• 2017

기업에서 보유하는 기밀 정보가 내부 직원에 의해 유출되는 사고가 빈번하게 발생하고 있다. 기업에서 데이터를 유출하려는 내부 직원을 탐지하기 위하여 보안 로그를 분석해주는 보안 관제 시스템을 사용하고 있으나, 보안 관제 시스템은 관리자가 지정하는 기준에 대해 보안 로그를 분석하기 때문에 새로운 유형의 데이터 유출 사고가 발생하였을 때 제대로 데이터 유출을 탐지할 수 없는 문제점을 가진다. 따라서 본 논문에서는 내부 직원의 업무활동에서 발생하는 보안 로그 리스트에 연관 분석을 적용하여 새롭게 데이터 유출 탐지 시나리오를 작성하여 기존의 시스템이 가진 문제점을 해결할 수 있는 방법을 소개한다. 연관 분석을 활용하여 정의한 데이터 유출 탐지 시나리오를 활용한 결과, 결과적으로 데이터 유출 탐지 성능이 향상되었다.