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서지반출
Data Reduction Method in Massive Data Sets
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  • Data Reduction Method in Massive Data Sets
  • Data Reduction Method in Massive Data Sets
저자명
Namo. Gecynth Torre,Yun. Hong-Won
간행물명
International journal of maritime information and communication sciences
권/호정보
2009년|7권 1호|pp.35-40 (6 pages)
발행정보
한국해양정보통신학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Many researchers strive to research on ways on how to improve the performance of RFID system and many papers were written to solve one of the major drawbacks of potent technology related with data management. As RFID system captures billions of data, problems arising from dirty data and large volume of data causes uproar in the RFID community those researchers are finding ways on how to address this issue. Especially, effective data management is important to manage large volume of data. Data reduction techniques in attempts to address the issues on data are also presented in this paper. This paper introduces readers to a new data reduction algorithm that might be an alternative to reduce data in RFID Systems. A process on how to extract data from the reduced database is also presented. Performance study is conducted to analyze the new data reduction algorithm. Our performance analysis shows the utility and feasibility of our categorization reduction algorithms.