• 한국디자인학회:학술대회논문집
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• 한국디자인학회 1998년도 가을 학술발표대회 논문집 디자인 학 연구
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• pp.62-63
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• 1998

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.204-209
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• 2002

The interest of data mining in artificial intelligence with fuzzy logic has been increased. Data mining is a process of extracting desirable knowledge and interesting pattern ken large data set. Because of expansion of WWW, web data is more and more huge. Besides mining web contents and web structures, another important task for web mining is web usage mining which mines web log data to discover user access pattern. The goal of web usage mining in this paper is to find interesting user pattern in the web with user feedback. It is very important to find user's characteristic fer e-business environment. In Customer Relationship Management, recommending product and sending e-mail to user by extracted users characteristics are needed. Using our method, we extract user profile from the result of web usage mining. In this research, we concentrate on finding association rules and verify validity of them. The proposed procedure can integrate fuzzy set concept and association rule. Fuzzy association rule uses given server log file and performs several preprocessing tasks. Extracted transaction files are used to find rules by fuzzy web usage mining. To verify the validity of user's feedback, the web log data from our laboratory web server.

• 한국경영과학회지
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• 제36권4호
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• pp.43-61
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• 2011

We first develop a value ecosystem framework to model the SDP(Service Delivery Process) of web services. Since the web service has been evolving from the basic web architecture (e.g., traditional world wide web) to a prosuming platform based on virtualization technologies, the proposed framework of the value ecosystem focuses on capturing the key characteristics of SDP in each type of web services. Even though they share the basic elements such as PP(Platform Provider), CA(Customization Agency) and user group, the SDP in the traditional web services (so-called Web1.0 in this paper) is quite different from the most recent one (so-called Web2.0). In our value ecosystem, users are uniformly distributed over (0, ${\Delta}$), where ${\Delta}$��represents the variety level of users' preference on the web service level. PP and CA provide a standard level of web service(s) and prosuming service package, respectively. CA in Web1.0 presents a standard customization package($s_a$) at flat rate c, whereas PP and CA collaborate and provide customization service with a usage-based scheme. We employ a multi-stage game model to analyze and compare the SDPs in Web1.0 and Web2.0. Our findings through analysis and numerical simulations are as follows. First, the user group is consecutively segmented, and the pattern of the segmentations varies across Web1.0 and Web2.0. The standardized service level s (from PP) is higher in Web1.0, whereas the amount of information created in the value ecosystem is bigger in Web2.0. This indicates the role of CA would be increasingly critical in Web2.0: in particular, for fulfilling the needs of prosuming and service customization.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 G
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• pp.2212-2214
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• 1998

As there comes out better and better solutions for delivering multimedia data on the internet, the number of WebCAM sites which transmits pictures of any spot to the user's system is getting increased. WebCAM service over the internet can be compared with the CATV in that it is beyond the spatial constraints. In this project, we construct a WebCAM site which performs not only the fundamental WebCAM functions of capturing images and of transmitting them periodically but also various kinds of modules carrying out tasks such as image processing, remote control of the camera, processing multiple user requests, making panorama views and so on using Java which is the most popular language for the internet or CGI. The past images are stored in a database implemented for the WebCAM system, so the system can be extended to get over the constraints in time also.

• Journal of Computing Science and Engineering
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• 제8권4호
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• pp.181-186
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• 2014

Web data mining aims at discovering useful knowledge from various Web resources. There is a growing trend among companies, organizations, and individuals alike of gathering information through Web data mining to utilize that information in their best interest. In science, cloud computing is a synonym for distributed computing over a network; cloud computing relies on the sharing of resources to achieve coherence and economies of scale, similar to a utility over a network, and means the ability to run a program or application on many connected computers at the same time. In this paper, we propose a new system framework based on the Hadoop platform to realize the collection of useful information of Web resources. The system framework is based on the Map/Reduce programming model of cloud computing. We propose a new data mining algorithm to be used in this system framework. Finally, we prove the feasibility of this approach by simulation experiment.

• 전자공학회논문지CI
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• 제48권6호
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• pp.123-139
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• 2011

웹 스팸은 중요하지 않은 웹 페이지들의 중요도를 승격시키기 때문에 웹 검색 결과의 품질에 중대한 영향을 준다. 따라서 웹 검색 엔진은 웹 스팸을 제거할 필요가 있다. 웹 스팸 필터링은 스팸 페이지들, 즉 웹 스팸에 기여하는 웹 페이지들을 식별하는 것이며, 잘 알려진 웹 스팸 필터링 알고리즘으로는 Trust Rank, Anti-Trust Rank, Spam Mass, 그리고 Link Farm Spam이 있다. 이러한 알고리즘들의 결과 품질은 입력 시드(input seed)에 따라 달라진다. 따라서 입력 시드를 정제(refinement) 함으로써, 웹 스팸 필터링의 품질을 향상 시킬 수 있다. 본 논문에서는 잘 알려진 네 가지 알고리즘에 대한 시드를 정제하는 기술을 제안한다. 다음으로, 이러한 기술을 원(original) 알고리즘에 각각 적용하는 방법으로 알고리즘을 수정한다. 이를 수정된 웹 스팸 필터링 알고리즘이라고 부른다. 본 논문에서는 또한, 웹 스팸 필터링을 좀 더 향상시키기 위한 전략을 제안한다. 이 전략에서는 수정된 알고리즘들을 수행 순서상의 적절한 위치에 배치함으로써 알고리즘들의 상호간 지원을 통해 전체적으로 성능을 향상시키는 가능성을 고려한다. 마지막으로, 실험에서는 시드 정제의 효과를 보인다. 이를 위해, 먼저, 수정된 알고리즘의 웹 스팸 필터링 품질이 원 알고리즘의 품질보다 더 우수함을 보인다. 다음으로, 웹 스팸 필터링 알고리즘들이 수행되는 순서의 조합 중 가장 성능이 우수한 조합이 가장 뛰어난 잘 알려진 알고리즘과 비교하여 정확도(precision)를 유지하면서 파라미터의 전형적인 값 범위 내에서 재현율(recall)은 최대 1.38배까지 높게 향상됨을 보인다.

• International Journal of Knowledge Content Development & Technology
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• 제8권1호
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• pp.5-23
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• 2018

There have been extensive studies done on webometrics, particularly on the impact of websites and the web impact factor. The present study analyzed the websites of ICAR organizations, according to the webometrics indicator. It examines and explores the 92 ICAR organizational websites in India and identifies a number of web pages and link pages, and calculates the Overall Web Impact Factor (WIF) and Absolute Web Impact Factor (WIF). In this study, all websites were analyzed and data extracted using Google search engine. It suggests that Web Impact Factors can be calculated as a way of comparing the attractiveness of web sites or domains on the Web.

• 대한안전경영과학회지
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• 제6권2호
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• pp.127-139
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• 2004

Web-based services have fundamentally confidential problems due to characteristics of internet environment such as anonymity. These problems are serious obstacles to grow the web-based services. The security and confidence of web-based services rely on both service provider and users' opinion. But the former has difficulty in trusting the service provider and the latter takes too long time to propagete all users after converging their opinion. Therefore it is necessary to establish the objective and confidential evaluation and certification program for web-based service. In this paper, the internal and external web-based services evaluation and certification programs are compared and analyzed. The critical factors and evaluation methodology for secure and confidential web-based service are identified. Finally, this paper provides the improvement and strategy for web-based services evaluation and certification program.

• 한국경영과학회지
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• 제26권1호
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• pp.15-32
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• 2001

It is well known that the web design is composed of several factors which are interacting with each other. However, the current approach to web design had been focused on modifying specific factors without considering its impact on other factors. In this sense, we propose more holistic approach to the web design by using fuzzy cognitive map. For this purpose, we form an illustrative fuzzy cognitive map for the web design which is based on the literature, and analyzed and impact of change in a specific factor on other factors. Especially, to improve the output analyzability, we suggested an advanced version of fuzzy cognitive map called stratified fuzzy cognitive map. After simulating the fuzzy cognitive map for web design, we could conclude that our approach is robust and effective compared to the traditional web design approach.

• 한국도서관정보학회지
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• 제32권2호
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• pp.165-185
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• 2001

교육학의 학습이론이 웹기반 도서관 이용자 교육에 응용될 수 있는지를 알아보기 위하여 10개 대학 도서관 웹사이트를 분석하였다. 분석을 위한 평가요소는 수업관련 교육, 협동학습, 학습평가 등 9개 항목이었다. 양적인 평가에서는 수업관련 교육, 정보검색 및 이용자 교육의 실시, 사서와 이용자간의 상호작용, 내용구성도, 탐색보조도구의 사용, 동화상정 보의 제공 등에서는 대체로 만족할 만한 수준에 있는 것으로 드러났다. 그러나 질적인 면에서는 사이트에 따라서 많은 차이를 보이고 있는 것으로 드러났다. 웹기반 이용자 교육 모델설계는 학습 설계에서 4가지, 인터페이스 설계에서 10가지 요소를 고려하여 이루어 졌다.