• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.82-86
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• 2012

In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.95-103
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• 2024

With the rapid decline of the school-age population, the competition for admissions has increased and marketing through digital channels has become more important, so universities are investing more resources in online promotion and communication to recruit new students. This study uses Google Analytics, a web log analysis tool, to track the visitor behavior of a university admissions website and establish a digital marketing strategy based on it. The analysis period was set from July 1, 2023, when Google Analytics 4(GA4) was integrated, to January 10, 2024, when the college admissions process was completed. The analysis revealed interesting patterns such as geographical information based on visitors' access location, devices(operating systems) and browsers used by visitors, acquisition channels through visitors traffic, conversions on pages and screens that visitors engaged with and visitor flow. Based on this study, we expect universities to find ways to strengthen their admission promotion through digital marketing and effectively communicate with applicants to gain a competitive edge.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.306-315
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• 2002

With the rapid growth of WWW, the existing systems are integrated into web and various web-based systems are developed. Unlike the general applications, web aplications are developed by combining the various technologies and have their own complexities. So, we have much difficulties in the development and maintenance of web applications. To accommodate to the rapidly changing business environments and user requirements, the continuos evolution is required. In this paper, we present a method for supporting the effective development and maintenance of web applications. Our method involves the extraction of web application's structure information and analyzes web log ales containing the useful information about web site. We also describe a web testing method using the attracted information and our system developed for extracting hyperlink information and analyzing web log.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.189-212
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• 2021

The purpose of this study is to analyze an usage behavior for the public library website through web traffic. For this purpose, using Google Analytics and growth hacking technique, the data of A public library website log was analyzed for three months from August 1, 2021 to October 31, 2021. As a result of the study, the young age group of 18-24 years old and 25-34 years old recorded a high rate of new member registration, & it was found that the inflow rate through SNS was high for external inflows. As a result of analysis for the access rate by time, it was found that the time with the highest inflow rate was between 10 am and 11 am both on Wednesday and Friday. As a access channel, the access rate using mobile (64.90%) was quite high, but at the same time, the bounce rate (27.20%) was higher than the average (24.93%), & the rate of duration time (4 minutes 33 seconds) was lower than thee average (5 minutes 22 seconds). Finally, it was found that the utilization rate of reading program events and online book curation service, which the library focuses on producing and promoting, is very low. These research results can be used as basic data for future improvement of public library websites.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.91-95
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• 2007

Main goal of web recommendation system is to study how user behavior on a website can be predicted by analyzing web log data which contain the visited web pages. Many researches of the web recommendation system have been studied. To construct web recommendation system, web mining is needed. Especially, web usage analysis of web mining is a tool for recommendation model. In this paper, we propose web recommendation system using grid based support vector machines for improvement of web recommendation system. To verify the performance of our system, we make experiments using the data set from our web server.

• American Studies
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• v.42 no.1
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• pp.133-159
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• 2019

On the website r/NYYankees, a sub-forum ("subreddit") of Reddit is devoted to the Major League Baseball team New York Yankees, with its predominantly male users showing their appreciation for baseball heroes by expressing erotic desires towards the players. When a player performs well, the subreddit is filled with admiration of desires to become the player's intimate lover-explicitly expressed by "male" fans. This paper explains the phenomenon of young male fans' desire for the now-lost model of traditional masculinity of domination and control, displayed in the context of baseball players' dominant performances. The discrepancy between a fan's non-homosexual real-world self and his homoerotic language on the subreddit is explained using the "performative fandom" theory, developed by Osborne and Coombs borrowing Butler's notion of performativity. This paper suggests how this desire for traditional masculinity serves as recognition to the collapse of masculinity in the modern American society.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.209-229
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• 2004

Although the site evaluation factors that affect the navigation pattern are well documented, the attempt to explore the difference in the relationship between navigation pattern and site evaluation factors by post hoc segmentation approach has been relatively rare. For this purpose, this study constructs the structure equation model using web-evaluation data and log file of a community site with 300,000 members. And then it applies the structure equation model to each segment. Each segment is identified by mixture model. Mixture model is to unmix the sample, to identify the segments, and to estimate the parameters of the density function underlying the observed data within each segment. The study examines the opportunity to increase GFI, using mixture model which supposes heterogeneous groups in the users, not through specification search by modification index from structure equation model. This study finds out that AGFI increases from 0.819 at total sample to 0.927, 0.930, 0.928, 0.929 for each 4 segments in the case of the community site. The results confirm that segment level approach is more effective than model modification when model is robust in terms of theoretical background. Furthermore, we can identify a heterogeneous navigation pattern and site evaluation variation in the community website at segment level.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.565-571
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• 2013

We need to study China, the country that's improving constantly, in perspective of economic, political, social integration, and area studies with expertise in some perspective. If we expand the range of view to studies at industry research, national organization, and academia, exact information and diversity with professional research information portal site is at the core of the region. Specialized information portal site in China through an analysis of Chinese studies at the research analyzes the usage of the content. Through the main advantage of the status and content attributes of a site visitor analysis, it has shown a relatively high user loyalty through last 10 years operating as a single topic of professional information website. Through the CSF, the national level with expertise in design construction information portal site can be used as a more efficient way to build the foundation planning. Furthermore, through the effective use of information in China, the two countries, South Korea and China laid the foundation for the economic development of area studies which is expected to contribute to the establishment of information systems.

• The Journal of Internal Korean Medicine
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• v.37 no.1
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• pp.47-64
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• 2016

Objectives: In the present study, a genetic analysis was conducted to investigate the association of the expression of SNPs of EDN1 gene polymorphism with the clinical phenotype in bronchial asthma patients with either excess or deficiency syndrome.Methods: Ninety-four healthy control subjects and 52 asthma patients were included in this study. The asthma patients were divided into two groups: those with deficiency syndrome and those with excess syndrome. We searched the exonic and promoter areas of the EDN1 gene in the NCBI website SNPs with <0.01 minor allele frequency (MAF) and <0.01 heterozygosity. Pro programs were performed to obtain the odds ratio, 95% confidence interval, and p-value. Multiple logistic regression models were conducted to analyze the genetic data.Results: In our genotype and allele analyses, there were significant differences in the codominant 2 model of the rs3087459 SNP genotype and also in the CGG haplotype between the control group and the asthma group. Genotype and allele analyses were conducted between the deficiency and excess syndrome group. There were significant differences in the dominant and log-additive model and also in the frequency of C-alleles of rs3087459 SNP genotype. There were significant differences in codominant 1, dominant and log-additive model and T-allele of rs5370 SNP genotype. The AGG haplotype also revealed significant differences.Conclusions: EDN1 SNPs (rs3087459, rs5370) showed a significant association with symptomatic excess syndrome in Korean asthmatic patients.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.4
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• pp.10-17
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• 2015

Currently, there are increasing demand for researches on the development of car-sharing operating strategy. In order to carry out the research, demand for car-sharing is required. However, since previous researches only adopted performance data or demand derived from several assumptions, spilled demand has been spotted due to lack of available cars. For this reason, we plan to suggest the way to estimate the value including spilled demand which has been spotted previously based on the record of utilization on the website of operating company, actual company providing car-sharing service. In the case of 'LH Happycar Service', difference between estimated demand and record of utilization is about twice the difference between estimated demand and record of inquiry. Especially, it is found that service rate does not go above once it reaches to its maximum rate because it cannot satisfy additional demands. In short, when we evaluate the demand for individual station based on the record of utilization only, it would be possible to underestimate the demand especially for the station at full capacity.