• Annual Conference of KIPS
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• 2000.04a
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• pp.36-39
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• 2000

웹에 등장한 다양한 웹사이트는 사용자의 정보획득 욕구를 충족시켜주는 최고의 정보 자원이 되었다. 하지만 최근 웹사용자의 경향이 보다 더 좋은 성능에서 정보를 얻고자 하여 정보 전달 능력이 낮은 사이트들은 양질의 정보를 보유하고도 사용자들에게 외면 당하고 있는 추세이다. 본 논문에서는 웹사이트의 성능을 향상시키기 위해 주방문자의 정보와 전송 시간에 관련된 여러 가지 요소, 웹페이지 구성요소의 중요도, 전송 속도와 사용자 만족도 간의 관계 등을 이용하여 사이트의 정보 전달 능력을 개선시킬 수 있는 웹페이지 분석 도구를 제안하고자 한다.

• Annual Conference of KIPS
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• 2013.05a
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• pp.816-817
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• 2013

본 논문은 전기자동차를 이용한 관광에 있어서 사용자가 선택한 목적지 집합에 대해 전기자동차 충전까지 고려하여 방문 순서를 결정하고 그 결과를 사용자 단말기 App을 통하여 보여주는 관광 스케줄러를 구현하였다. 스케줄링 엔진은 방문총거리가 짧으면서 충전대기시간을 최소화하기 위해 $A^*$ 알고리즘과 유전자 알고리즘으로 구현되었고 웹서비스 방식으로 단말기와 상호작용함으로써 서비스의 확장성과 편의성을 기한다.

• Journal of the Korean Data and Information Science Society
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• v.23 no.1
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• pp.191-198
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• 2012

Statistical analysis is a process which produces information based on data gathering and summary for final decision. In various application fields, we obtain information which supports final decision using statistical analysis. But statistical software program in PC (personal computer) is restricted by time and space. So web based system which can be used in web browser has been developed to minimize these restrictions. To overcome these restrictions, we have developed web based system for statistical analysis without a particular software.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.880-883
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• 2009

As the amount of web contents in the Internet increases, it becomes hard to find out statistics that users want. In this paper we propose an analysis system based on the statistics of words, which can be used to prospect trends in a specific area. We applied this system to job recruiting site and we can find out trend and statistics about what part of technology is needed in job market and the result of this paper can be used for an application such as restructuring curriculum of a department in universities. It can also be used to predict trend in other areas.

• Journal of KIISE:Databases
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• v.32 no.2
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• pp.151-160
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• 2005

As web pages are created, destroyed, and updated frequently, web databases should be updated to keep up-to-date web pages. In order to keep web databases fresh effectively, we need to understand the change of real web pages. Previous researches on the change of the web pages have directed their efforts on the contents modification of web pages only, and have not taken into account the factors of creation and destruction of web pages In their research. This paper investigates the web page changes, which include contents modification, page creation, and page destruction. We introduce three metrics, namely DR (Download Rate), MR (Modification Rate), and CAV (Coefficient of Age Variation) to represent the change of the web pages. We have monitored three million web pages collected from the famous and random sites every other day for one hundred days. With the Download Rate and the Modification Rate, we learned that the download success and the modification depends on the past change of them, and proposes two estimation formulae that predict the download success and modification. With the Coefficient of Age Variation, we show how web pages do not change periodically.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.3C
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• pp.226-233
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• 2002

This paper proposes the web robot based on Multi-Agent which the mutual dependency should be minimized each other with dividing the function each to collect Webpage. In result it is written to make a foundation for producing the effective statistics to analyze the domestic webpages and text, multimedia file composition ratio through performance analysis of the implemented system. It is easy that Web robot of the sequential processing method to collect Webpage on the same resource environment produces the limit of collecting performance. So to speak Webpages have "Dead-links" URL which is produced by the temporary host down and instability of network resource. If there are much "Dead-links" URL in the webpages, it takes a lot of time for web robot to collect HTML. The propose of this paper to be proposed, makes the maximum improvement to extract the webpages to process "Dead-links" URL on the Inactive URL scanner Agent.

• Communications for Statistical Applications and Methods
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• v.11 no.1
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• pp.197-211
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• 2004

According to the increase of internet application, the marketing process as well as the research and survey, the education process, and administration of government are very depended on web bases. All kinds of goods and sales which are traded on the internet shopping malls are extremely increased. So, the necessity of automatically intelligent information system is shown, this system manages web site connected users for effective marketing. For the recommendation system which can offer a fit information from numerous web contents to user, we propose an automatic recommendation system which furnish necessary information to connected web user using statistical learning theory and bayesian fuzzy clustering. This system is called collaborative CRM in this paper. The performance of proposed system is compared with the other methods using real data of the existent shopping mall site. This paper shows that the predictive accuracy of the proposed system is improved by comparison with others.

• Journal of Fashion Business
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• v.9 no.2
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• pp.160-173
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• 2005

Fashion is hard to expect owing to the rapid change in accordance with consumer taste and environment, and has a tendency toward variety and individuality. Especially street fashion d 21st century is not being regarded as one of the subcultures but is playing an important role as a fountainhead d fashion trend. Therefore, Searching and analyzing street fashions helps us to understand the popular fashions d the next season and also it is important in understanding the consumer fashion sense and commercial area. So, we need to understand fashion styles quantitatively and qualitatively by providing visual data and dividing images. The purpose of this study is to design for street fashion on design analysis using web which can update quantitative and qualitative data. through the on site investigation d street fashion, and put the information onto a database.

• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.493-504
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• 2009

The web log data analysis is to analysis traces which visitors remain while they drop by a web-site. Ultimately it can help to obtain a lot of useful information that can efficiently manage homepage and perform CRM(customer relationship management) using obtained information. In this paper, we provide a basic information to manage efficiently homepage of D university and to establish strategy for invitation of new pupil, as analyzing web log data for D university.