• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.621-630
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• 2003

Web logs are the information recorded by a web server when users access the web sites, and due to a speedy rising of internet usage, the worth of their practical use has become increasingly important. Analyzing such logs can use to determine the patterns representing users' navigational behavior in a Web site and restructure a Web site to create a more effective organizational presence. For these applications, the generally used key methods in many studies are association rules and sequential patterns based by Apriori algorithms, which are widely used to extract correlation among patterns. But Apriori inhere inefficiency in computing cost when applied to large databases. In this paper, we develop a new algorithm for mining interesting patterns which is faster than Apriori algorithm and recommendation agents which could provide a system manager with valuable information that are accessed sequentially by many users.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.177-185
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• 2024

Web science, a general discipline of learning is presently at high demand of expertise with ideas to develop software-based WebApps and MobileApps to facilitate user or customer demand e.g. shopping etc. electronically with the access at their smartphones benefitting the business enterprise as well. A worldwide-computerized reservation network is used as a single point of access for reserving airline seats, hotel rooms, rental cars, and other travel related items directly or via web-based travel agents or via online reservation sites with the advent of social-web, e-commerce, e-business, from anywhere-on-earth (AoE). This results in the accumulation of large and diverse distributed databases known as big data. This paper describes a novel intelligent web-based electronic booking framework for e-business with distributed computing and data mining support with the detail of e-business system flow for e-Booking application architecture design using the approaches for distributed computing and data mining tools support. Further, the importance of business intelligence and data analytics with issues and challenges are also discussed.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.221-227
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• 2010

Web access sequence mining can discover the frequently accessed web pages pursued by users. Utility-based web access sequence mining handles non-binary occurrences of web pages and extracts more useful knowledge from web logs. However, the existing utility-based web access sequence mining approach considers web access sequences from the very beginning of web logs and therefore it is not suitable for mining data streams where the volume of data is huge and unbounded. At the same time, it cannot find the recent change of knowledge in data streams adaptively. The existing approach has many other limitations such as considering only forward references of web access sequences, suffers in the level-wise candidate generation-and-test methodology, needs several database scans, etc. In this paper, we propose a new approach for high utility web access sequence mining over data streams with a sliding window method. Our approach can not only handle large-scale data but also efficiently discover the recently generated information from data streams. Moreover, it can solve the other limitations of the existing algorithm over data streams. Extensive performance analyses show that our approach is very efficient and outperforms the existing algorithm.

• Journal of the Korea Society of Computer and Information
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• v.10 no.1 s.33
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• pp.59-66
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• 2005

The organization of the web is progressively more being used to improve search and analysis of information on the web as a large collection of heterogeneous documents. Most people begin at a Web search engine to find information. but the user's pertinent search results are often greatly diluted by irrelevant data or sometimes appear on target but still mislead the user in an unwanted direction. One of the intentional, sometimes vicious manipulations of Web databases is a intentionally biased web page like Google bombing that is based on the PageRank algorithm. one of many Web structuring techniques. In this thesis, we regard the World Wide Web as a directed labeled graph that Web pages represent nodes and link edges. In the Present work, we define the label of an edge as having a link context and a similarity measure between link context and target page. With this similarity, we can modify the transition matrix of the PageRank algorithm. By suggesting a motivating example, it is explained how our proposed algorithm can filter the Web intentionally biased web Pages effective about $60\%% rather than the conventional PageRank.

• The Journal of Korean Medicine
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• v.43 no.3
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• pp.164-180
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• 2022

Objectives: The purpose of this study was to evaluate the effects of shenfu injection on myocardial protective effects after mitral valve replacement surgery. Methods: We searched four international databases (PUBMED, Embase, Web of Science and CNKI) and three domestic electronic databases (OASIS, RISS and NDSL) for relevant studies. We used following keywords 'shenfu', 'valve replacement', 'mitral valve' at PUBMED, Embase and Web of Science; '二尖瓣', '参附注射液', '瓣膜' at CNKI and '이첨판', '판막', '삼부' at domestic databases. The search range included randomized controlled trials. When appropriate, meta-analyses were performed. Results: Seven randomized controlled trials were selected. All studies used Shenfu injection after mitral valve replacement surgery. We analyzed myocardial damage, cardiac function, patients' recovery rate, with various evaluation indicators. We also used meta-analysis for CK-MB, cTnI, MDA and voluntary recovery of heartbeat. CK-MB was analyzed in two subgroups: 8 hours and 24 hours after surgery. Std was -2.34(95% CI -4.10, -0.58) for 8 hours and -1.95(95% CI -4.79 to 0.88) for 24 hours. 8 hours showed statistically significant difference. cTnI appeared significant decrease with Std of -2.13(95% CI -2.60, -1.66). MDA showed significant decrease with Std of -0.95(95% CI -1.43 to -0.47). Voluntary recovery of heartbeat significantly increased with the odd ratio of 4.34(95% CI 1.76, 10.70). Conclusions: We suggest that Shenfu injection after Mitral valve replacement surgery may have significant myocardial protective effects in terms of reducing myocardial damages, reactive oxygen species, increasing cardiac function and patients' recovery after surgery. However, the evidence is limited, further research is required.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.469-478
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• 2003

Internet information search engines using web robots visit servers conneted to the Internet periodically or non-periodically. They extract and classify data collected according to their own method and construct their database, which are the basis of web information search engines. There procedure are repeated very frequently on the Web. Many search engine sites operate this processing strategically to become popular interneet portal sites which provede users ways how to information on the web. Web search engine contacts to thousands of thousands web servers and maintains its existed databases and navigates to get data about newly connected web servers. But these jobs are decided and conducted by search engines. They run web robots to collect data from web servers without knowledge on the states of web servers. Each search engine issues lots of requests and receives responses from web servers. This is one cause to increase internet traffic on the web. If each web server notify web robots about summary on its public documents and then each web robot runs collecting operations using this summary to the corresponding documents on the web servers, the unnecessary internet traffic is eliminated and also the accuracy of data on search engines will become higher. And the processing overhead concerned with web related jobs on web servers and search engines will become lower. In this paper, a monitoring system on the web server is designed and implemented, which monitors states of documents on the web server and summarizes changes of modified documents and sends the summary information to web robots which want to get documents from the web server. And an efficient web robot on the web search engine is also designed and implemented, which uses the notified summary and gets corresponding documents from the web servers and extracts index and updates its databases.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.379-382
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• 2005

We demonstrate workflows in biological data retrieval and analysis using the DDBJ Web Service; specifically introduce a workflow for the analysis of proteins or proteomics data sets. The workflow mechanically extracts the gene whose protein structure and function are known from all the genes of a human genome in Ensembl (http://www.ensembl.org/) based on cross-references among Ensembl, Swiss-Prot (http://www.ebi.ac.uk/swissprot) and PDB (Protein Data Bank; http://www.wwpdb.org/). The workflow discovered ‘hidden’ linkages among databases. We will be able to integrate distributed and heterogeneous data systems into workflows, if they are provided based on standards for Web services.

• Journal of KIISE:Databases
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• v.28 no.2
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• pp.233-243
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• 2001

XML은 Web에서 운영되는 모든 데이터 표현에 대한 표준이다. 여러 웹 소스들로부터 이질적인 데이터를 XML 데이터로 통합할 수 있다. 많은 연구자들이 XML처리에 대한 연구를 해 왔다. 이러한 연구의 집합체로서, 우리는 XML 데이터의 효율적인 저장, 추출, 질의, 웹 환경에서의 응용을 위한 기반 시스템인 XWEET를 제안, 구현하였다. XWEET는 XML 데이터의 표현을 위해 XDM이라는 데이터 모델을 사용하였으며, XML 데이터의 저장을 위해 PDM을, 이질적인 정보 소스로부터의 데이터 통합을 위해 Wrapper와 XWS를, 서로 다른 XML 문서 형식의 통합된 표현을 위해 XSI를 제공한다. 이렇게 통합, 저장된 데이터는 XML/QL 형식의 질의를 통해 접근되며, XQP는 제공되는 질의를 처리한다. 또한, 사용자들은 웹 환경에서 수행괴는 응용을 작성할 수 있는 기반을 제공받는다. WPG와 HTML/XML Template는 웹 응용의 수행 결과를 정의된 HTML이나 XML로 생성하도록 해 주며, WebTP는 웹기반 워크플로우를 위한 기반 기능을 제공한다.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.47-72
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• 2003

It is important to retrieve information that a user requires on the web. The web is an open system. The amount of information is increasing rapidly. While each of information was compiled into the database piece at a single platform in the past, it is now compiled into complicated structure at a multi-platform. Restructuring the multi-platform database is needed to efficiently retrieve information. MIRAS(Meta Information Retrieval Agent System) has a multi-platform database on web. This study applies the classification of the existent site's categories to restructure the database systematically. The empirical analysis shows that the suggested method is effective for information retrieval and multi-platform database restructuring. This study helps users to save on time-cost of searching information.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.703-708
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• 2020

The momentum of e-commerce is growing stronger and now, the competition between e-commerce is becoming more and more fierce. In the competition of various e-commerce companies, how to effectively analyze and rationally use these data has become a key point. This paper will use data mining technology to filter out redundant data from large Web databases, extract data that is useful to us, and then analyze them from different perspectives to apply this data reasonably and effectively to our e-commerce website.