• The Journal of the Korea Contents Association
• /
• v.13 no.3
• /
• pp.299-306
• /
• 2013

The purpose of this research is to analyze the questionnaire of oriental medicine and bio-signal data and to identify the correlation between symptoms of oriental medicine and bio-signal in order to develop the customization model for individual patients. First, this research analyzes the questionnaire data using the developed questionnaire for oriental medicine symptoms and selects the optimized questionnaires for identifying the symptoms. Using data mining technologies with the selected questionnaires, this research divides the normal group and the group with symptoms. Finally, this research identifies the correlation between the questionnaire for oriental medicine symptoms and electrogastrogram signal.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.1189-1192
• /
• 2013

신문기사 분석을 통한 연관어 비주얼라이저는 신문 기사의 단어를 추출하여 단어 간 연관도를 분석하여 다양한 그래프로 표현하는 시스템이다. 인터넷 신문사의 뉴스 기사들을 수집하고 형태소 분석을 통해 기사별로 단어의 출현 횟수를 데이터베이스에 저장하고 단어와 단어 간의 연관성을 분석한다. 단어 간 연관성을 측정하기 위한 기준으로 두 단어 간 동일기사에 존재여부, 동일날짜에 존재여부를 이용한다. 이 값을 바탕으로 웹 페이지 상에서 다양한 그래프로 상위 연관성을 가진 단어들을 표현한다. 표현 되는 그래프는 다양한 형태의 그래프로 단어와 단어사이에 연관성을 보다 쉽게 파악 할 수 있다.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2004.05a
• /
• pp.587-591
• /
• 2004

수많은 데이터로부터 우리가 이용할 수 있는 의미 있는 연관성 규칙을 찾는 것은 대단히 중요하다. 연관성 규칙은 데이터베이스의 각 트랜잭션을 분석하여 이에 대한 각종 측정치를 수집하여 이루어지는데 대단히 많은 시간과 노력을 요한다. 본 논문에서는 통계적 추론을 이용하여 탐색도중 주어진 조건을 만족하는 항목에 대하여 의사결정을 내려 탐색시간은 단축할 수 있는 알고리즘을 제안한다. 또한 추론에 따른 오류발생을 최소화 할 수 있는 기법을 제시한다.

• Journal of the Korean Data and Information Science Society
• /
• v.10 no.2
• /
• pp.457-464
• /
• 1999

In this paper, we propose an overlapped mosaic plot which proposed by Hartigan and Kleiner(1981) represents the counts in $2{\times}2$ contingency table directly by tiles whose area is proportional to the cell frequency. Overlapped mosaic plot provides some measurements of association including dynamic graphics for mosaic plots. Dynamic graphics for mosaic plots give some useful informations when one gets some measurements of association and selects a model, and current statistical software does not provide this feature. We can see the deviations between observation and estimate of independence from overlapped mosaic plot. This dynamic graphics give some useful informations how far this data are apart from independence.

• Journal of Korean Ophthalmic Optics Society
• /
• v.13 no.1
• /
• pp.89-94
• /
• 2008

Purpose: To make a comparative study of correlation between biometry data of size in eyeball and refractive error. Methods: The subjects were 68 normal university students (male 36, female 32) and the average age was 22.85${\pm}$3.12. We measured the students' eyesight by A-scan ultrasound and refractor. The results were examined it's statistical significance by SPSS 12.0 version. Results: The mean of axial length was 24.31${\pm}$1.24 mm, chamber depth was 3.48${\pm}$0.28 mm, lens thickness was 3.56${\pm}$0.26 mm and corneal thickness was 0.55${\pm}$0.03 mm. Male's Axial length and chamber depth were larger than female's. As reflective error decreases the thickness of lens become thicker. The measurement data between right eye and left eye didn't had difference and there was no correlation with result of T-test. There were statistically significant correlation with length and chamber depth, axial length and corneal thickness, chamber depth and corneal thickness, and refractive error and lens thickness (p<0.01). Refractive error and axial length were minus linear regression (r=-0.56). Conclusions: Eye's refractive error was changed by axial length, chamber depth and lens thickness but it wasn't related with sex and whether it is a right eye or a left eye.

• Journal of Yeungnam Medical Science
• /
• v.22 no.2
• /
• pp.199-210
• /
• 2005

Background: The role of obesity in prostate cancer etiology remains controversial. The aim of this study was to evaluate the relationship between obesity and prostate cancer risk. Materials and methods: Between January 2000 and June 2005, 286 patients suspected of having prostate cancer underwent prostate biopsy. The clinical records of the 286 study patients were retrospectively reviewed with regard to age, Body Mass Index (BMI), serum PSA, TRUS, and prostate biopsy results. They were stratified by BMI into three groups according to the cutoffs recommended for Asian populations: normal, BMI less than 23 $kg/m^2$; overweight, BMI 23 to 25 $kg/m^2$; and obese, BMI greater than 25 $kg/m^2$. Results: As for BMIs, 132 (46.2%) were normal, 95 (33.2%) overweight and 59 (20.6%) were obese. A total of 99 (34.6%) patients were diagnosed as having prostate cancer. In multivariate logistic regression analyses, no significant association was observed between BMI and prostate cancer detection. Conclusion: We initially hypothesized that obesity may be biologically associated with increased prostate cancer development. However, our study did not show a significant association between BMI and prostate cancer.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.11a
• /
• pp.1362-1365
• /
• 2013

한국어 텍스트에 나타나는 오류어의 유형은 크게 단순 철자오류와 문맥 철자오류로 구분할 수 있다. 이중 문맥 철자오류는 문맥의 의미 통사적 관계를 고려해야만 해당 어휘의 오류 여부를 알 수 있는 오류로서 철자오류 중 교정 난도가 가장 높다. 문맥 철자오류의 유형은 발음 유상성에 따른 오류, 오타 오류, 문법 오류, 띄어쓰기 오류로 구분할 수 있다. 본 연구에서는 오타 오류에 의해 발생하는 문맥 철자오류를 어의 중의성 해소와 같은 문제로 보고 교정 어휘 쌍을 이용한 통계적 문맥 철자오류 교정 방법을 제안한다. 미리 생성한 교정 어휘 쌍을 대상으로 교정 어휘 쌍의 각 어휘와 주변 문맥 간 의미적 연관성을 통계적으로 측정하여 문맥 철자오류를 검색하고 교정한다. 제안한 방법을 적용한 결과 3개의 교정 어휘 쌍 모두 90%를 넘는 정확도를 보였다.

• Journal of the Korean Data and Information Science Society
• /
• v.21 no.6
• /
• pp.1061-1069
• /
• 2010

In data mining, association rule is a popular and well researched method for discovering interesting relations between variables. There are three measures for association rule, support, confidence and lift. But there are some problem in them. They don't consider the frequency of variable in case. So, we need the new association rule which consider the frequency.In this paper, we proposed the new association rule. We compared the proposed association rule with the original association rule from example data. As a result, we knew our function was better than the original function in terms of sensitivity.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.749-750
• /
• 2009

문맥 광고에서 계층적인 분류 트리를 활용하여 의미적으로 연관된 광고를 매칭하는 기법이 소개되었다. 하지만 기존 기법은 계층 구조의 특성에 기인하여 임의의 광고의 연관성을 측정할 때에는 적합하지 않다. 이러한 문제를 해결하기 위하여 본 논문에서는 분류 트리를 유사도 그래프로 변환한 후 개인화된 페이지 랭크를 응용한 링크 분석 기법을 적용하여 광고의 의미적 연관성을 측정하는 기법을 제안한다. 실험을 통하여 제안 기법이 문맥 광고에서 광고 매칭의 정확도 성능을 향상시킴을 확인하였다.

• The Korean Journal of Applied Statistics
• /
• v.29 no.1
• /
• pp.113-122
• /
• 2016

Longitudinal data often occur in prospective follow-up studies. Joint model for longitudinal data and failure time has been applied on several works. In this paper, we extend it to the case where longitudinal data involve informative observation time process as well as competing risks survival times. We use a likelihood approach and derive an EM algorithm to obtain maximum likelihood estimate of parameters. A suggested joint model allows us to make inferences for three components: longitudinal outcome, observation time process and competing risk failure time. In addition, we can test the association among these components. In this paper, liver cirrhosis patients' data is analyzed. The relationship between prothrombin times measured at irregular visiting times and drop outs is investigated with a joint model.