• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.939-948
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• 2012

The most widely used data mining technique is to explore association rules. This technique has been used to find the relationship between items in a massive database based on the interestingness measures such as support, confidence, lift, etc. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control.In general, association rule technique generates the rule, 'If A, then B.', whereas negative association rule technique generates the rule, 'If A, then not B.', or 'If not A, then B.'. We can determine whether we promote other products in addition to promote its products only if we add negative association rules to existing association rules. In this paper, we proposed the negatively attributable and pure confidence to overcome the problems faced by negative association rule technique, and then we checked three conditions for interestingness measure. The comparative studies with negative confidence, negatively pure confidence, and negatively attributable and pure confidence are shown by numerical examples. The results show that the negatively attributable and pure confidence is better than negative confidence and negatively pure confidence.

• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.562-575
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• 2013

The purpose of this study was to test the determinants of fashion savvy. As determinants, this study examined fear of negative evaluation by others and self esteem as subject-related variables and consumer confidence in fashion decisions as the product-related variable. It was hypothesized that fear of negative evaluation and self esteem influence fashion savvy both directly and indirectly through consumer confidence in fashion decisions. Data were gathered by surveying university students in Seoul metropolitan area, using convenience sampling, and 311 questionnaires were used in the statistical analysis. In analyzing data, factor analysis and path analysis were conducted. Tests of the hypothesized path show that one factor of fear of negative evaluation and self esteem influence fashion savvy directly and indirectly through consumer confidence in fashion decisions. More specifically, 'fear of negative impression and judgment' factor negatively influences 'marketing literacy' and 'consumer selfefficacy' of fashion savvy, whereas self-esteem positively influences 'consumer self-efficacy' of fashion savvy. In addition, consumer confidence in fashion decisions influences all six factors of fashion savvy. The implications of these findings and suggestions for future study are also discussed.

• 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%.

• Journal of Fashion Business
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• v.22 no.3
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• pp.89-108
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• 2018

This paper aims to explore the analysis of the meanings and processes of reading online consumer reviews and to construct a substantive theory that explains the process involved with the phenomenon of reading consumer reviews. In order to explore the phenomenon, this study employs a qualitative methodology. Following the grounded theory perspective, the researcher conducted interviews with 17 participants, who have subsequently shopped online and utilized online consumer reviews for shopping, and decidedly employed in-depth interviews with those participants. Through coding and making constant comparison, several themes emerged: improving confidence, trusting reviews, getting a sense of who reviewers are, seeking balance, processing and handling negative reviews, experiencing vicariously, increasing searchability, getting a sense of who they are in terms of similarity, and seeking benefits and the usage situations from consumer based reviews. Among the emerging themes, improving confidence can be considered a core category, which is influenced by the analysis of trusting reviews and the consumer vicarious experiences with a product. Moreover, this study discusses the relationships among the themes. This study concludes with a discussion of the results, implications, and limitations.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.611-618
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• 2015

By Wikipedia, big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Data mining is the computational process of discovering patterns in huge data sets involving methods at the intersection of association rule, decision tree, clustering, artificial intelligence, machine learning. Association rule is a well researched method for discovering interesting relationships between itemsets in huge databases and has been applied in various fields. There are positive, negative, and inverse association rules according to the direction of association. If you want to set the evaluation criteria of association rule, it may be desirable to consider three types of association rules at the same time. To this end, we proposed a balanced comparative confidence considering sensitivity, specificity, false positive, and false negative, checked the conditions for association threshold by Piatetsky-Shapiro, and compared it with comparative confidence and inversely comparative confidence through a few experiments.

• Child Health Nursing Research
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• v.29 no.3
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• pp.229-236
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• 2023

Purpose: The purpose of this study was to investigate perceptions of fatherhood among fathers of high-risk neonates and their confidence regarding neonatal care. Methods: A study was conducted of 100 fathers whose neonates had been admitted to a neonatal intensive care unit (NICU) for at least 48 hours. Perceptions of fatherhood, neonatal characteristics, and fathers' confidence regarding neonatal care were measured using a self-reported questionnaire. The survey took approximately 10 minutes to complete and was completed anonymously. The factors that affected fathers' confidence regarding neonatal care were analyzed using multiple regression. Results: The scores for positive and negative perceptions of fatherhood were relatively high at 4.27 and 3.42 out of 5 points, respectively. A positive perception of fatherhood was found to influence fathers' confidence regarding neonatal care. Conclusion: NICU nurses should encourage fathers to effectively perform their parenting roles by implementing educational programs and interventions to promote positive perceptions of fatherhood and fathers' confidence regarding neonatal care after discharge.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1289-1300
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• 2009

The double sampling scheme is effective in reducing the sampling cost. However, the doubly sampled data is contaminated by two types of error, namely false-positive and false-negative errors. These would make the statistical analysis more difficult, and it would require more sophisticate analysis tools. For instance, the Wald method for the interval estimation of a proportion would not work well. In fact, it is well known that the Wald confidence interval behaves very poorly in many sampling schemes. In this note, the property of the Wald interval is investigated in terms of the coverage probability and the expected width. An alternative confidence interval based on the Agresti-Coull's approach is recommended.

• Women's Health Nursing
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• v.11 no.1
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• pp.20-26
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• 2005

Purpose: The purpose of this study was to understand self confidence during delivery in laboring women and to identify the factors influencing self confidence for delivery. Method: The participants of the study were 166 women who were admitted to a delivery room at C hospital in Seoul from July 1 to October 31, 2002. Data was collected using a structured questionnaire, self confidence scale, anxiety scale, knowledge of childbirth scale and graphic rating scale. The data was analyzed by the SPSS PC+ program. For the analysis of collected data, frequency analysis, Pearson's correlation, multiple linear regression analysis and stepwise selection method was used. Result: Self confidence during delivery had negative correlation coefficients with anxiety, and positive correlation coefficients with endurance of pain, husband support during pregnancy, age and parity. Anxiety was the highest factor influencing self confidence for delivery(40.0%). Endurance of pain, husband support during pregnancy and age accounted for 49.0% of self confidence in laboring women. Conclusion: The factors influencing self confidence during delivery were anxiety, endurance to pain, husband support during pregnancy and age. Further studies need to be done to identify interventions for overcoming on anxiety, promoting endurance of pain, and increasing husband support during pregnancy.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.235-243
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• 2011

The most widely used data mining technique is to explore association rules. This technique has been used to find the relationship between each set of items based on the association thresholds such as support, confidence, lift, etc. There are many interestingness measures as the criteria for evaluating association rules. 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 measure was developed to compensate for this drawback, but it is useless in the case that the value of positive confidence is the same as that of negative confidence. This paper propose a attributably pure confidence to evaluate association rules and then describe some properties for a proposed measure. The comparative studies with confidence, net confidence, and attributably pure confidence are shown by numerical example. The results show that the attributably pure confidence is better than confidence or net confidence.

• Women's Health Nursing
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• v.25 no.4
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• pp.434-445
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• 2019

Purpose: This study was conducted to examine the relationship between a mother's diagnosis of cervical cancer and attitudes toward cervical cancer prevention in their daughters. Their intention to recommend human papillomavirus (HPV) vaccination for their daughters, their confidence in 8 methods for cervical cancer prevention with their daughters, and their negative emotions about the assumption of their daughter's HPV infection. Methods: This study was a secondary analysis of data from the study of maternal health beliefs about preventing cervical cancer. The study sample were women who reported whether ever diagnosed with cervical cancer, who had pubertal daughters (n=1,578). Data were analyzed by cross-tabulation analysis, Spearman's rank correlation analysis, and logistic regression. Results: Mothers diagnosed with cervical cancer were more confident in using methods to prevent cervical cancer in their daughters (Z=-4.42, p<.001) and were more likely to feel negative emotions about the assumption of their daughters' HPV infection (Z=-2.44, p=.015) than mothers who were not diagnosed. Significant factors influencing their intention to recommend the HPV vaccination to their daughters were the mother's confidence in preventing cervical cancer in their daughters (odds ratio [OR], 1.003; 95% confidence interval [CI], 1.002-1.004) and their negative emotions about the assumption of their daughters' HPV infection (OR,1.016; 95% CI, 1.004-1.028). Conclusion: For the early prevention of cervical cancer in pubertal daughters, the education of their mothers should include interventions to increase confidence in preventing cervical cancer in their daughters and sensitivity of HPV infection toward daughters.