• 한국환경과학회지
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• 제3권4호
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• pp.445-450
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• 1994

The environmental regulation violation of the Korean firms is causing severe environmental pollution lately. Nevertheless, there are few studies on the firm's pattern of environmental regulation violation. In this paper, for the pattern of environmental regulation violation of the Korean firms, we give a type of statistical data analysis using the correspondence analysis. Therefore, with more effective control and inspection based on this, we have an effective and enforceable system decreasing the violative firms.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.735-744
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• 2005

The number of electronic mail(E-mail) has been increased dramatically as a result of expanding internet and information technology. Although there are many conveniences of E-mail in the bright side, some serious problems occur because of E-mail in its dark side. One of the problems is spam-mail which is unsolicited mail and also called bulk mail. This paper presents a set of patterns of spam-mail occurrences within a week using the correspondence analysis. The correspondence analysis is an exploratory multivariate technique that converts data into a particular type of graphical display in which the rows and columns are depicted as points. One of the meaningful patterns is a great increment of adult and phishing related spam-mails at weekends so any spam-mail filters should be designed to cope with this pattern.

• 응용통계연구
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• 제28권1호
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• pp.49-60
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• 2015

군생태학에서 종, 장소 그리고 환경변수의 관계를 시각적으로 보기 위해 대응분석, 정준대응분석 등 다양한 서열화방법들을 사용한다. Ter Braak (1986), Jackson 등 (1991), Parmer (1993) 등은 고유값 및 거리그래프를 이용하여 서열화방법들을 비교하고 있는데, 이 방법들은 조사된 데이터에 근거하고 있기 때문에, 모집단과 행렬도의 관계를 보여주지는 못한다. 따라서, 본 논문에서는 행렬도에 모집단 정보의 표현정도를 측정하는 방법을 소개하고, 이를 활용하여 서열화방법들을 객관적으로 비교하였다. 비교결과, 정준대응분석은 대응분석과 유사한 정분류율을 유지하면서도 환경정보를 이차원 공간에 표현할 수 있는 장점을 지닌 분석임을 확인하였다.

• The Korean Journal of Ecology
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• 제20권2호
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• pp.125-132
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• 1997

A study of forest vegetation in Mt. $T\v{o}kyu$ National Park was investigated by ordination technique. By TWINSPAN(Two-Way Indicator Species Analysis) method, 10 groups were recognized as follows: pinus densiflora, Quercus variabilis, Quercus serrata, Quercus mongolica-Rhododendron schlippenbachii, Quercus mongolica-Abies koreana, Quercus mongolica-Acer pseudo-sieboldi-amum, Quercus mongolica-Symplocos chinensis for. pilosa, Carpinus laxiflora, Fraxinus mandshurica and Taxus cuspidata groups. The floristic composition of these groups showed high correlation to soil moisture(r=0.831), altitude(r=0.784), topography(r=-0.722), organic matter(r=0.642), and pH(r=-0.509) among various environmental factors. According to the results of CCA(Canonical Correspondence Analysis) Pinus densiflora group and Quercus variabilis group were situated in a xeric area at a lower altitude where soil nutrients were poor compared with the other groups. Fraxinus mandshurica group was distributed throughout the valley with high soil moisture and good nutrients, Quercus serrata group and Carpinus laxiflora group were found in the low altitude region with good nutrients, Quercus mongolica group, at the high altitude region with good nutrients, and Quercus mongolica-Acer koreana and Taxus cuspidata at higher altitudes(1, 400-1600 m).

• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.547-558
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• 2012

Social network analysis is a graphical technique to search the relationships and characteristics of nodes (people, companies, and organizations) and an important node for positioning a visualized social network figure; however, it is difficult to characterize nodes in a social network figure. Therefore, their relationships and characteristics could be presented through an application of correspondence analysis to an affiliation matrix that is a type of similarity matrix between nodes. In this study, we provide the relationships and characteristics around authors and keywords in the JKSS(Journal of the Korean Statistical Society) of the Korean Statistical Society through the use of social network analysis and correspondence analysis.

• 한국식품조리과학회지
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• 제30권4호
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• pp.412-418
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• 2014

This study considered the selection attributes of bakery consumers and schematized characteristic attributes of being selected by customers by image through a correspondence analysis in terms of own preferring bakery. Self-administrated questionnaires were completed by consumers (452 samples), and the data were analysed by frequency, chi-square, one-way ANOVA, reliability analysis and correspondence analysis. According to the survey results regarding the mean value on bakery selection attributes, it was shown to be in the order of taste ($4.73{\pm}0.70$), sanitation ($4.70{\pm}0.68$), service ($4.21{\pm}0.84$), price ($4.03{\pm}0.92$), consideration ($4.01{\pm}0.96$), communication ($4.01{\pm}0.96$), health ($3.99{\pm}0.98$), and location ($3.83{\pm}0.99$). In the analysis of difference with regard to the selection attributes according to the preferred bakery, both consideration ($4.05{\pm}0.90$) and communication ($3.98{\pm}0.93$) showed a high value in individual bakery, thereby presenting a significant difference (p<0.05). As a result of having carried out correspondence analysis in order to prepare an image map according to the preferred bakery, the selection attributes of employees' service and communication showed the closest image map to individual bakery. Location and sanitation were very close to franchise bakery. Further, other bakery shops were schematized in a relatively close distance to price.

• Journal of information and communication convergence engineering
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• 제8권6호
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• pp.618-622
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• 2010

The damages from DDoS attacks are increasing as DDoS attacks are taking various forms. This has resulted not only in decreased reliability of organizations and corporations but also in the threat of national security. Organizations and corporations are making significant efforts in developing a system through which they can appropriately correspond to DDoS attacks. However, the studies on objective index for evaluating the performance of DDoS correspondence are lacking. The majority of the existing studies have been on the information protection & management system on a large scale. Accordingly, the scope of this thesis will be limited to DDoS correspondence to propose correspondence index for quantitatively measuring and managing them. The statistical techniques such as SMART technique and factor analysis will be utilized accordingly.

• 응용통계연구
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• 제28권3호
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• pp.485-494
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• 2015

정준대응분석은 생태학에서 장소, 종 그리고 환경변수의 관계를 시각적으로 보기 위해 가장 많이 사용되는 서열화 방법 중의 하나이다. 그런데 이 방법은 표본이 바뀔 때마다 분석결과가 달라지기 때문에 종 간의 생태학적 유사성에 대한 일관된 해석을 어렵게 한다. 본 연구에서는 이러한 문제점을 해결하기 위해 정준대응분석에 붓스트랩 방법을 활용하였다. 이를 통해 전체 관찰 자료수에 반비례하여 좌표점의 변이가 나타나고, 붓스트랩 신뢰구간을 사용한 포함확률이 명목확률에 근사함을 확인하였다.

• 산경연구논집
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• 제7권3호
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• pp.5-12
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• 2016

Purpose - In this paper, we consider more segmented types of markets than conventional version of ones in South Korea and explore the degree of relations between these markets and the related factors with them. In this case, ten attributes of types of markets mentioned above will be considered. To be more specific, the numerical strength is evaluated and graphical approach is expressed on two-dimensional plane, if the association exists between the considered variables. Research design, data, and methodology - This work is done by the 2013 report on the commercial building lease offered by Small Businessmen Promotion Institute (May/2013~August/2013) and exploited by statistical analyses such as correspondence analysis and a chi-squared test in IBM SPSS 23.0. Results - Findings of this paper indicate that a variable Korean market, including traditional markets, are closely connected with variables administrative district, sales and occupation instead of company, age group and business duration and the detailed associations between variables can be obtained by inspecting results of correspondence analysis. Conclusions - We can understand where the status of the Korean markets stands now through this work and also government authority and local autonomy can take advantage of these findings to enhance the revitalization of Korean markets and other markets.

• 응용통계연구
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• 제27권2호
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• pp.169-183
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• 2014

오늘날, 다양한 분야에서 다양한 형태의 빅 데이터들이 축적되고 있다. 이에, 빅 데이터를 분석하고 그 속에서 가치 있는 정보를 찾아내는 것은 매우 중요해지고 있다. 또한, 비정형 빅 데이터를 정형화하여 통계적 기법을 적용할 수 있게 하는 것은 매우 중요해지고 있다. 본 연구에서는 분산처리 시스템인 맵리듀스를 활용하여 비정형 빅 데이터를 정형화하고, 통계적 분석 기법인 단순 대응분석과 다중 대응분석을 적용하여, 한국 경제 신문의 지면에 실린 기사를 이용해 삼성전자와 애플을 언급하고 있는 단어들의 관계와 특성을 각각 파악하였다.