• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.659-668
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• 2010

Collaborative filtering systems grasp behaviors for a new user and need new information for the user in order to recommend interesting items to the user. For the purpose of acquiring the information the collaborative filtering systems learn behaviors for users based on the previous data and can obtain new information from the results. In this paper, we propose an inductive inference method to obtain new information for users and rank items by using the new information in the proposed method. The proposed method clusters users into groups by learning users through NMF among inductive machine learning methods and selects the group features from the groups by using chi-square. Then, the method classifies a new user into a group by using the bayesian probability model as one of inductive inference methods based on the rating values for the new user and the features of groups. Finally, the method decides the ranks of items by applying the Rocchio algorithm to items with the missing values.

• The Korean Journal of Applied Statistics
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• v.22 no.6
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• pp.1177-1190
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• 2009

The traffic operating speed is one of important information to measure a road capacity. When we supply the information of the road of high traffic by using navigation, offering the present traffic information and the forecasted future information are the outstanding functions to serve the more accurate expected times and intervals. In this study, we proposed the traffic speed forecasting model using the accumulated traffic speed data of the road and highway and forecasted the average speed for each the road and high interval and each time interval using Fourier transformation and time series regression model with trigonometrical function. We also propose the proper method of missing data imputation and treatment for the outliers to raise an accuracy of the traffic speed forecasting and the speed grouping method for which data have similar traffic speed pattern to increase an efficiency of analysis.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.31-41
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• 2020

This study analyzed parents' school satisfaction longitudinally using data from the 1st, 3rd, and 5th wave data of the Korea Education Longitudinal Study(KELS)2013. The subjects of analysis are parents who responded without dropping out in the first, third and fifth panel of the KELS2013, and 4,227 cases that had no missing values in the variables were selected for the sample to input for analysis of the latent growth modeling(LGM). As a result, it is confirmed that the parents' education, educational support, and children's academic achievement have a positive effect on the parents' school satisfaction. But the parents' educational view and education cost have a negative effect on that. The results of this study are expected to be important information to help enhance the primary function of the school.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.231-240
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• 2010

If only fixed effects exist in a 4 $\times$ 4 balanced incomplete block design, powers of FR statistic for testing a main effect show the highest level with a few replications. Under the exponential and double exponential distributions, FR statistic shows relatively high powers with big differences as compared with the F statistic. Further in a traditional balanced incomplete block design, powers of FR statistic having a fixed main effect and a random block effect show superior preference for all situations without regard to the effect size of a main effect, the parameter size and the type of population distributions of a block effect. Powers of FR statistic increase in a high speed as replications increase. Overall power preference of FR statistic for testing a main effect is caused by unique characteristic of a balanced incomplete block design having one main and block effect with missing observations, which sensitively responds to small increase of main effect and sample size.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.203-210
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• 2019

This study analyzed the size and influence factors of annual average health expenditure according to job type. Using data from the Korea Health Panel (2012), the final analysis was conducted on adults aged 20 years or older, excluding the missing data. Data analysis was done by logistic regression analysis to analyze the factors affecting medical expenditure. As a result of the study, Model 1 showed higher expenditure on medical expenses by skilled workers in agriculture and forestry fishery than those in simple labor. Model 2 was analyzed as having a positive effect on the increase of medical expenditure by the simple worker in the sales of the occupation, statistically significant by sex, marriage, income level and chronic disease. Therefore, it would be necessary to establish social security and health care & welfare policies, in order to grasp the disease with a high frequency rate according to occupation status and activate the physical examination and preventive actions.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.343-350
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• 2021

This study aims to investigate the relationship between depression, self-esteem and parental attachment·peer attachment. The study also examines the mediating effect of parental attachment·peer attachment between depression and self-esteem. For these purposes, 315 school dropout adolescent, excluding missing values, were finally analyzed from the 5th School Dropout Adolescent Panel Study(SDAPS). Correlation analysis, mediation analysis performed using SPSS(21.0 version). The findings of the study were as follows. First, it was identified that parental attachment significantly mediated the relationship between depression and self-esteem. Second, it was identified that peer attachment significantly mediated the relationship between depression and self-esteem. Based on the study results, this research suggested the practice and policy implications to increase parental attachment·peer attachment, especially to the school dropout adolescent as well as to increase their self-esteem.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.699-706
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• 2021

This study aims to investigate the relationship between depression, drinking and social relationship satisfaction. The study also examines the moderating effect of social relationship satisfaction between depression and drinking. For these purposes, 217 single seniors with chronic diseases, excluding missing values, were finally analyzed from the 13th Korea Welfare Panel Study(KWPS). Correlation analysis, moderating analysis performed using SPSS(21.0 version). The findings of the study were as follows. First, it was identified that family relationship satisfaction among social relationship satisfaction significantly moderating the relationship between depression and drinking. Second, it was no identified that satisfaction with satisfaction with social acquaintance among social relationship satisfaction significantly moderating the relationship between depression and drinking. Based on the study results, this research suggested the practice and policy implications to increase family relationship satisfaction, especially to the single seniors with chronic diseases as well as to decrease their drinking.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.211-230
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• 2023

The purpose of this study is to confirm the effect of digital co-teaching between teachers online on improving students' reading literacy. In order to achieve the purpose of the study, a pre-test was conducted on first-year high school students, and a post-test was conducted after conducting the co-teaching over two sessions. For statistical analysis, the data of 101 students with no missing values in pre- and post-tests were used. Through the OECD's PISA reading literacy evaluation framework and factor analysis, a reading literacy test tool consisting of expression, comprehension, and information literacy was developed and the degree of change in reading literacy was measured through a self-report with the tool. As a result of the analysis, it was confirmed that the digital co-teaching had a statistically significant positive effect on the expression, comprehension and information literacy of high school students. This study is meaningful in that it shows that digital co-teaching can be applied as a way to improve reading literacy in PISA organized by the OECD.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.55-65
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• 2022

Elderly people with Parkinson's disease have higher rates of physical and mental risk factors for falls than non-Parkinson's disease elderly. The purpose of this study is to investigate this by using national data that includes the entire population of the elderly in Korea. As a secondary analysis study using data survey on the elderly by the Ministry of Health and Welfare in 2017, there were a total of 103 elderly people with Parkinson's disease, and a total of 96 subjects were analyzed excluding missing values. In the elderly with Parkinson's disease, the factor most influencing the fall was IADL, and IADL is related to motor control function. Decreased motor control limits physical movements essential for daily life, and even affects self-protective behavior in emergency situations, affecting falls. Based on the research results that IADL can affect falls, various exercise therapies for fall prevention interventions in the elderly with Parkinson's disease can be suggested.

• Journal of Korea Technology Innovation Society
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• v.18 no.3
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• pp.387-415
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• 2015

In this study, we have proposed an estimation model of domestic market size using the linking between standard statistical classification systems, and reviewed the practical applicability of the model. The results of the mining and manufacturing survey of Statistics Korea conducted on the basis of KSIC (Korea Standard Industrial Classification) and Korea trade statistics based on HS (The Harmonized Commodity Description and Coding System; Harmonized System) classification were linked for the model by using the correspondence tables provided by Statistics Korea and United Nations Statistics Division. The most serious problem to adopt the integrated KSIC-ISIC-HS correspondence table for the estimation of domestic market size is the complex multiple linkages among KSIC and HS codes. In this study, we have suggested the method to divide the amount of trade corresponding to the HS codes linked to more than two ISIC codes based on the ratio of shipments corresponding to the ISIC codes as the weight. Then, it is possible to analyze the domestic market size of 125 ISIC codes in the manufacturing industry and to forecast the market size in the near future by using the model. Although the model has some limitations such as the difficulty in analysis on more subdivided items than ISIC items, the impossibility of the analysis on items in industries except for manufacturing, errors in the shipment due to some missing data, this study has significance in the sense that it provided the analysis method of domestic market size by using the most objective, reliable and sustainably useful data.