지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.8 No.4
- 발행연도
- 2014.12
- 수록면
- 181 - 186 (6page)
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초록· 키워드
오류제보하기
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.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. WEB DATA MINING
Ⅲ. CLOUD COMPUTING AND MAP/REDUCE MODEL
Ⅳ. SYSTEM FRAMEWORK
Ⅴ. SIMULATION EXPERIMENT
Ⅵ. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2016-569-001106188