• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.495-503
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• 2011

The most widely used data mining technique is to find association rules. Association rule mining is the method to quantify the relationship between each set of items in very huge database based on the association thresholds. There are some basic association thresholds to explore meaningful association rules ; support, confidence, lift, etc. Among them, confidence is the most frequently used, but it has the drawback that it can not determine the direction of the association. The net confidence and the attributably pure confidence were developed to compensate for this drawback, but they have other drawbacks.In this paper we consider some predictive similarity measures for binary data in cluster analysis and multi-dimensional analysis as association threshold to compensate for these drawbacks. The comparative studies with net confidence, attributably pure confidence, and some predictive similarity measures are shown by numerical example.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.5
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• pp.435-443
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• 2010

When testing systems that incorporate probabilistic behavior, it is necessary to apply test inputs a number of times in order to give a test verdict. Interval estimation can be used to assert the correctness of probabilities where the selection of confidence interval is one of the important issues for quality of testing. The Wald interval has been widely accepted for interval estimation. In this paper, we compare the Wald interval and the Agresti-Coull interval for various sizes of samples. The comparison is carried out based on the test pass probability of correct implementations and the test fail probability of incorrect implementations when these confidence intervals are used for probability testing. We consider two-sided confidence intervals to check if the probability is close to a given value. Also one-sided confidence intervals are considered in the comparison in order to check if the probability is not less than a given value. When testing probabilities using two-sided confidence intervals, we recommend the Agresti-Coull interval. For one-sided confidence intervals, the Agresti-Coull interval is recommended when the size of samples is large while either one of two confidence intervals can be used for small size samples.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.75-84
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• 2017

The purpose of this converged study was to investigate the level of perceived ethical confidence, character, nursing professional value and moral sensitivity as well as to identify the factors influencing the perceived ethical confidence in nurses. The study evaluated on 174 nurses working in general hospital in D and S Province. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, Multiple regression. As a result, the level of perceived ethical confidence was moderate score. There were positive correlations between perceived ethical confidence and character and nursing professional value and moral sensitivity. The significant factors influencing the perceived ethical confidence were character, nursing professional value, moral sensitivity, which explained 25% of variance in perceived ethical confidence. Based on these findings, education programs that develop character and nursing professional value and moral sensitivity are necessary for nurses to promote perceived ethical confidence.

• Communications for Statistical Applications and Methods
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• v.18 no.4
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• pp.445-455
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• 2011

Although misclassified binary data occur frequently in practice, the statistical methodology available for the data is rather limited. In particular, the interval estimation of population proportion has relied on the classical Wald method. Recently, Lee and Choi (2009) developed a new confidence interval by applying the Agresti-Coull's approach and showed the efficiency of their proposed confidence interval numerically, but a theoretical justification has not been explored yet. Therefore, a Bayesian model for the misclassified binary data is developed to consider the Agresti-Coull confidence interval from a theoretical point of view. It is shown that the Agresti-Coull confidence interval is essentially a Bayesian confidence interval.

• The Journal of Information Systems
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• v.20 no.3
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• pp.63-79
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• 2011

Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

• The Journal of the Acoustical Society of Korea
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• v.22 no.3
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• pp.194-201
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• 2003

In speech recognition, confidence measuring is to decide whether it can be accepted as the recognized results or not. The confidence is measured by integrating frames into phone and word level. In case of word recognition, the confidence measuring verifies the results of recognition and Out-Of-Vocabulary (OOV). Therefore, the post-processing could improve the performance of recognizer without accepting it as a recognition error. In this paper, we measure the confidence modifying log likelihood ratio (LLR) which was the previous confidence measuring. It accumulates only those which the log likelihood ratio is negative when integrating the confidence to phone level from frame level. When comparing the verification performance for the results of word recognizer with the previous method, the FAR (False Acceptance Ratio) is decreased about 3.49% for the OOV and 15.25% for the recognition error when CAR (Correct Acceptance Ratio) is about 90%.

• Korean Parent-Child Health Journal
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• v.18 no.1
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• pp.11-18
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• 2015

Purpose: This study was to compare the knowledge and confidence of newborn care between mother and father. In furthermore, to develop a nursing intervention based on the data. Methods: A descriptive design was used, the participants of this study were 85 couples of mother and father of newborn, hospitalized in postpartum care center. Knowledge and confidence of newborn care was measured from the two postpartum care center located in G province. Descriptive statistics, paired t-test, t-test and ANOVA were used to analyze the data using SPSS. Results: Comparing to the mothers', the scores for fathers' knowledge and confidence of newborn care were lower. Particularly, fathers of first-born showed lower score of knowledge and confidence of newborn care. Also, fathers were lacking of knowledge and confidence related to health problem management. Conclusion: The results showed that nursing intervention which encourage fathers to raise the confidence in involvement of newborn care is needed to be developed. Also evaluation of the effect of newborn care education for parents, and longitudinal study of effect on infant and child development is suggested.

• The Research Journal of the Costume Culture
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• v.18 no.3
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• pp.476-487
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• 2010

The purpose of this study was to identify the determinants of decision-making confidence of clothing. As determinants, this study examined consumer susceptibility to interpersonal influence, vanity, and clothing knowledge. Data were collected through surveying university students in Seoul metropolitan area using convenience sampling method. Out of 324 distributed, 300 useful questionnaires were returned. The results showed that identical conformity among consumer susceptibility to interpersonal influence factors significantly influences, both directly and indirectly, decision making confidence through vanity. Although normative conformity does not influence decision-making confidence directly, it does significantly influence decision-making confidence indirectly through influencing vanity and clothing knowledge. The results suggest clothing is a manifestation tool for managing public self, which finally leads to increased clothing knowledge and decision-making confidence of clothing. These findings may be used by marketers in developing strategies for product development and promotion.

• Korean Journal of Adult Nursing
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• v.16 no.3
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• pp.493-501
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• 2004

Purpose: The purpose of this study was 1) to classify the stage of adoption 2) to compare the decisional balance and confidence by stage of adoption 3) to identify factors influenced the stage of adoption for breast self exam. Method: A comparative study using a survey method with convenience sample of 143 women was used. Decisional balance and confidence was measured using the CHBMS-K. Stage of adoption for BSE was measured by a single item modified by the researchers based on the Rakowski et al (1992). Result: 1) The number of women in each stage of adoption for BSE was as follows; maintenance phase, 7.7% (n=11), action phase, 49.0% (n=70), contemplation phase, 35.0% (n=50) and pre- contemplation phase, 8.4%(n=12). 2) The mean difference in the decisional balance (F=4.32, p=.006) and confidence (F=13.85, p=.000) according to the stage of BSE adoption was statistically significant. 3) Prevention education and confidence accounted for 32% of variance in BSE. Conclusion: Assessment of decisional balance and stage of adoption for BSE can guide planning for cancer prevention education. We must educate women to have confidence in BSE. Further, it is important to urge women to continually practice BSE.

• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.109-119
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• 2014

The purpose of this research is to determine oriental hospital staffs' education status, their knowledge, overall attitudes and self-confidence in conducting cardiopulmonary resuscitation (CPR) and how those factors influence their performance of CPR. This research was conducted from September 1st to 15th in 2014 and involved 104 participants who worked at P Oriental Hospital at Y city, and well-structured surveys were used throughout the research. The collected data underwent descriptive statics, t-test, ANOVA, Scheffe' test, Pearson correlation coefficients and stepwise multiple regression by the SPSS WIN 19.0 program. The results revealed the staffs' knowledge of CPR (r=.27, p=.007), attitude (r=.42, p=.001), and confidence in conducting cardiopulmonary resuscitation (r=.48, p=.001), which indicates all the factors are positively correlated. In conclusion, as the knowledge of CPR increased, CPR attitude and CPR performance confidence increased. We also found that a positive attitude toward CPR increases CPR performance confidence. Therefore, education in CPR should be included in workplaces. Through education, CPR performance and performance confidence can be reinforced at the time of emergency.