• Journal of the Korean School Mathematics Society
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• v.11 no.4
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• pp.655-676
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• 2008

This paper analyzed contents related to statistics in the 7th elementary mathematics curriculum in conjunction with main changes in the recent revised curriculum. This paper then provided detailed analyses of textbooks and workbooks in terms of main contents, instructional methods of graphs, and comprehension of graphs required to students in order to look closely at how such instructional materials would put the vision of the curriculum into action. It is expected that the issues and suggestions stemming from this analysis are informative in constructing new textbooks and workbooks.

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.361-368
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• 2006

There are lots of two and three dimensional graph representing two dimensional categorical data. Among them, Li, et al. (2003) proposed Diamond Graph that projects three dimensional graph into two dimension whereby the third dimension is replaced with a diamond shape whose area and middle and vertical and horizontal lengths represent the outcome. In this paper, we use the Diamond graph to test the independence of two predictor variables for two dimensional data. And this graph could be applied for finding the best fitted log-linear model to three dimensional data.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.129-132
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• 2002

네트워크를 설계하거나 평가하는데 있어 중요한 문제 중 하나는 그 네트워크를 구성하는 요소들간의 상대적 중요도(importance)에 관한 문제이다. 이런 중요도를 나타내는 여러 가지 측도들 중 하나인 Joint Reliability Importance(JRI)는 Hong & Lie(1993)에 의해 소개되었으며, 네 가지 파생된 서브그래프의 신뢰성을 구하여 JRI를 계산하는 방법이 제시되었다. 본 연구에서는 minimal path set을 이용하여 파생되는 서브 그래프 신뢰성 계산에서의 중복되는 계산과정을 줄임으로써 JRI를 보다 효율적으로 구하는 방법을 제시하고자 한다.

• Journal of Educational Research in Mathematics
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• v.18 no.3
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• pp.353-372
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• 2008

This study looks around the goals of teaching statistical graphs that are introduced in the seventh Korean Curriculum for Elementary School and in the Principles and Standards for School Mathematics(NCTM, 2000), and these are compared. We compare how to transpose statistical graphs didactically between the Korean and MiC textbooks. For it, it examines the types of statistical graphs, the methods defining them, and the making connections and comparing among them, which are content components in the chapters on statistical graphs. The results show that in contrast to the Korean textbooks, NCTM(2000) has allowed students to develop their own expression for data, to compare results analysed within different graphs, and to consider a graph as a whole in the goals of teaching statistical graphs. MiC textbooks have introduced the number-line plot and the box plot more than Korean. Although both of Korean and MiC textbooks usually use extensive methods for defining individual graphs, the former use extensive methods together with synonymic methods and the latter use extensive methods with the characteristics of graphs. Also, the number-line plot is defined using operative method in the MiC textbooks. MiC textbooks contain various activities for connecting and comparing graphs, but there are comparatively few comparing activities in the Korean textbooks.

• Communications for Statistical Applications and Methods
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• v.5 no.2
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• pp.315-326
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• 1998

균형된 불완비 블록계획이 존재하지 않는 경우 동반수가 연속적인 두 개의 정수값을 갖는 정규그래프계획(Regular Graph Designs :RGD)은 불완비 블록계획중에서 가장 효율적인 계획이 됨을 추측하였다(John과 Mitchell,1977). Brown(1988)은 주어진 모수를 이용하여 정규그래프계획의 존재 여부를 판단하는 방법을 연구하였다. 본 논문에서는 정규그래프계획의 존재여부를 판단하는 방법을 동반수가 3인 블록계획으로 확장하여 동반수가 3인 부분적으로 균형된 불완비 블록계획중에서 동반수가 3인 가장 균형된 계획 (3-concurrence most balanced designs)의 존재여부를 판단하는 방법을 제시하였다.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.85-105
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• 2002

To explore the relationships among frequencies for sets of alleles, within or between loci, is one of the first analyses in population genetic study. The general question is whether the frequency of a set of alleles is the same as the product of each of the separate allele frequencies. For two alleles of a single locus, Hardy-Weinberg equilibrium is tested and for an allele from each of two loci, linkage disequilibrium is tested. However, it is more useful if we can quantify and graphically represent this information. In this study, we suggest graphical methods to find associations between alleles. We also analyze the STR data of Korean population as an illustration.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.26-31
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• 2005

In this paper, we present the document summarizers which are simpler and more condense than the existing ones generally used in the web search engines. This method is a statistic-based summarization method using the concept of the complete graph. We suppose that each sentence as a vertex and the similarity between two sentences as a link of the graph. We compare this summarizer with those of Clustering and MMR techniques which are well-known as the good summarization methods. For the comparison, we use FScore using the summarization results generated by human subjects. Our experimental results verify the accuracy of this method, being about $30\%$ better than the others.

• The KIPS Transactions:PartB
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• v.12B no.2 s.98
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• pp.209-214
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• 2005

The use of protein interaction data is highly reliable for predicting functions to proteins without function in proteomics study. The computational studies on protein function prediction are mostly based on the concept of guilt-by-association and utilize large-scale interaction map from revealed protein-protein interaction data. This study compares graph-based approaches such as neighbor-counting and $\chi^2-statistics$ methods using protein-protein interaction data and proposes an approach that is effective in analyzing large-scale protein interaction data. The proposed approach is also based protein interaction map but sequence similarity and heuristic knowledge to make prediction results more reliable. The test result of the proposed approach is given for KDD Cup 2001 competition data along with those of neighbor-counting and $\chi^2-statistics$ methods.

• The Transactions of the Korea Information Processing Society
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• v.5 no.12
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• pp.3158-3164
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• 1998

본 논문에서 구축한 시스템은 서버에 설치된 통계패키지인 Xlisp-Stat을 이용하여 인터넷 상에서 통계분석과 통계 학습을 겸한 통계학습시스템이다. 이 시스템은 CGI 프로그램에 의하여 Xlisp-Stat과 웹 서버와의 인터페이스 모듈이 구현되었으며, 특히 통계분석 결과가 그래프인 경우에 브라우저에 출력이 가능한 GIF 이미지로 변환하여 실시간으로 학습자에게 전송하도록 설계하였다. 또한 학습 페이지는 기술통계를 중심으로 학습 내용을 구성하였으며, 학습 효과를 높이기 위하여 인지적지연 시간을 최소화하도록 설계하였다.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.200-207
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• 1997

본 논문에서는 계층적 랜덤 그래프를 이용한 필기 한글 인식 방법론을 제안한다. 한글은 다른 문자와 달리 기본 자소의 조합으로 이루어진 문자로서 2차원 평면상에 표현된다. 이러한 한글의 특성과 필기된 한글에서 나타나는 다양한 변형을 통계적으로 모델링하기 위해서 계층 그래프를 이용하였다. 특히, 계층 그래프의 최 하위 계층에서는 필기된 획의 변형을 흡수할 수 있도록 확장된 랜덤 그래프를 적용하였다. 제안된 모델은 통계적 모델이기 때문에 필기 데이터베이스로부터 모델의 파라미터를 구할 수 있다는 장점이 있다. 실험에서 제안된 모델을 필기 한글 인식 문제에 적용하여 자소간 접촉된 문자나 어느 정도의 흘려 쓴 문자도 잘 인식할 수 있음을 보였다.