• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.681-689
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• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

• Journal of Korean Academy of Nursing
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• v.45 no.1
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• pp.76-83
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• 2015

Purpose: The purpose of this study was to investigate factors that influence sexual intercourse among middle school students in South Korea. Methods: Using statistics from the 8th (2012) Korea Youth Risk Behavior Web-based Survey, hierarchical logistic regression analysis was conducted. The study sample comprised 37,297 middle school students aged primarily 12 to 15. Results: The significant predictors of sexual intercourse were grade, ever smoking, ever drinking, habitual or purposeful drug use, economic status, weekly allowance, cohabitation with family, and type of school. Conclusion: The results suggest that intensified sex education is needed not only in the 1st grade of middle school, but also in the upper grades of elementary school. Sexual health interventions for high-risk groups may be needed, given the factors predicting sexual intercourse.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1161-1167
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• 2006

Since microarray data structures are various and complicative, the data are generally stored in databases for approaching to and controlling the data effectively. But we have some difficulties to analyze and control the data when the data are stored in the several database management systems. The existing analysis tools for DNA microarray data have many difficult problems by complicated instructions, and dependency on data types and operating system, and high cost, etc. In this paper, we design and implement the web-based analysis tool for obtaining to useful information from DNA microarray data. When we use this tool, we can analyze effectively DNA microarray data without special knowledge and education for data types and analytical methods.

• The Korean Journal of Applied Statistics
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• v.13 no.2
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• pp.287-296
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• 2000

Data collection, management, and analysis to furnish information are very important in these modern days. In this paper, we discuss the methods of data collection and management on the World Wide \Veb and introduce an evaluating system for lecture.

• Journal of Information Processing Systems
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• v.5 no.1
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• pp.11-18
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• 2009

As well as providing various APIs for the development of inference engines and storage models, Jena is widely used in the development of systems or tools related with Web ontology management. However, Jena still has several problems with regard to the development of real applications, one of the most important being that its query processing performance is unacceptable. This paper proposes a storage model to improve the query processing performance of the original Jena storage. The proposed storage model semantically classifies OWL elements, and stores an ontology in separately classified tables according to the classification. In particular, the hierarchical knowledge is managed, which can make the processing performance of inferable queries enhanced and stores information. It enhances the query processing performance by using hierarchical knowledge. For this paper an experimental evaluation was conducted, the results of which showed that the proposed storage model provides a improved performance compared with Jena.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.33-36
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• 2000

The purpose of this paper is to develop the web-based apartment flaw-repairing petition system which can be operated under the internet environments. The developed system mainly consists of administrator, constructor and apartment resident section. The administrator can administrate all of the actions which will be occurred during the operation. Constructor must be enrolled before resident can use this system. All of the resident member must enroll before they petition the company. All of the processing is monitored and accumulated at the database to calculate the statistics and finally will be shown by the graphical results. This system which is programmed by the PERL and PHP and MySQL will be easily transformed into the similar kind of request system.

• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.1-13
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• 2003

This study attempts to investigate attitude toward internet shopping. internet purchase behavior. and purchase satisfaction of college student consumers. The data used for this study were collected from 361 college students who is living the southern part of Korea. and purchased goods and services on the internet at least one time during the previous 12 months. in Autumn, 2001. Data analysis were carried out using SAS package. Statistics used for data analysis were Cronbach'$\alpha$, Pearson's correlation analysis, and multiple regression. The results were summarized as follows : First, college student consumers in general are favorable to the internet shopping. The variable that has significant influence on the attitude toward the internet shopping was the web searching competence. Second, the variables that have significant influence on the internet purchases were the number of site visits, internet using time, credit card possession. personal income, and web searching competence. Third, the variables that have significant influence on the amount of internet purchases were personal income, internet using time, number of site visits. and credit card possession. Fourth, the variables that have significant influence on the satisfaction with internet shopping were internet shopping attitude and web searching competence.

• Journal of the Korean Dietetic Association
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• v.22 no.2
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• pp.79-87
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• 2016

The aim of this study was to explore the relationship between demographic characteristics and atopic dermatitis, along with adolescents' body mass index. Also, this study explored the association between dietary intakes (fruits, soda, caffeinated beverages, instant food, cracker, vegetables, and milk) of adolescents and atopic dermatitis. Korea Youth Risk Behavior Web-based Survey for 2014 was used for data analysis, in which a total of 3,532,149 middle and high school students participated. Data were analyzed by descriptive analysis and logistic regression based on the complex sample design using SPSS ver.20.0 statistics. The results showed that males had a higher prevalence rate of atopic dermatitis than females. The significant association between body mass index and atopic dermatitis was found (F=46.625, P<0.001). Students who have higher levels of body mass index showed a higher prevalence rate of atopic dermatitis. Finally, the findings showed that the intake of vegetable and milk had associations with atopic dermatitis (F=6.795, P<0.001). Greater vegetable intake was associated with less atopic dermatitis whereas greater milk intake was associated with more atopic dermatitis prevalence. Based on the above results, we found that demographic characteristics, body mass index, and some dietary food intakes of adolescents had influences on prevalence rate of atopic dermatitis.

• Korean Journal of Adult Nursing
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• v.17 no.4
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• pp.635-645
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• 2005

Purpose: This study was attempted and completed in order to settle down and qualitatively improve web-based nursing education by evaluating effect and managing strategy of tutor. Method: The development of tutor's managing strategy was based on "The Self-regulated Learning" and "The supportive Learning", then it was applied to 79 learners in one of the cyber-learning centers. After applying the tutor's managing strategy, self-regulated learning scale, attitude for school, preference for computer and academic achievement were evaluated. The development of tutor's managing strategy for web-based nursing education are consisted of participation promotion, psychological support and motivation, recognition and promotion strategy of learning activity, management strategy of evaluating stage. Result: The levels of learner's self-regulated learning, recognition, behavior, attitude on the school and learning achievement were meaningfully increased in statistics after applying for the managing strategy of tutor. The motivation level and learning participation kept high scores from the beginning with no significant statistical changes. Conclusion: It is required to develop an educational program for cultivating well-educated tutors in order to help the effective learning process of nurses based on understanding characteristics of learners.

• Publications of The Korean Astronomical Society
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• v.21 no.1
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• pp.1-9
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• 2006

An archiving system designed to enable documenting database of astronomical images, with functions of search and download, is being developed by Korean Astronomical Data Center(KADC) of Korea Astronomy and Space Science Institute(KASI). The system consists of three PCs for web server, database server, and system management server. The search program for the web environment is operated in the web server. In the management server, several utility program we developed are installed: input program for the database, program for transfer from fits to jpg files, program for data recovery and management, and programs for statistics and connect management. The collected data would be sorted out by the system manager to input into the database. The online input is possible in an observatory where the data is produced. We applied the content management system(CMS) module for the database management. On the basic of CMS module, we set up a management system for the whole life cycle of metadata from creation and collection to storage and deletion of the data. For the search function, we employed a technique to extract indices from the metadata. In addition, MySQL is adopted for DBMS. We currently display about 2,700 and 25,000 photographs for astronomical phenomena and astronomical objects on the data, respectively.