메뉴 건너뛰기

ENG

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
(Seoil University) (Gachon University)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제22권 제1호(통권 제154호)
발행연도
수록면
49 - 56 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
이 논문의 연구방법이 궁금하신가요?
🏆
연구결과
이 논문의 연구결과가 궁금하신가요?
AI에게 요청하기
추천
검색
질문

초록· 키워드

In this paper we propose the approach for big data integration so as to analyze, visualize and predict the future of the trend of the market, and that is to get the integration data model using the R language which is the future of the statistics and the Hadoop which is a parallel processing for the data. As four approaching methods using R and Hadoop, ff package in R, R and Streaming as Hadoop utility, and Rhipe and RHadoop as R and Hadoop interface packages are used, and the strength and weakness of four methods are described and analyzed, so Rhipe and RHadoop are proposed as a complete set of data integration model. The integration of R, which is popular for processing statistical algorithm and Hadoop contains Distributed File System and resource management platform and can implement the MapReduce programming model gives us a new environment where in R code can be written and deployed in Hadoop without any data movement. This model allows us to predictive analysis with high performance and deep understand over the big data.
#R #Big Dаtа #Hаdoop #ff #Streаming #Rhipe #RHаdoop
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지
정보가 잘못된 경우 알려주세요!

목차

  1. Abstract
  2. Ⅰ. Introduction
  3. Ⅱ. Related Study
  4. Ⅲ. Data Integration Method
  5. Ⅳ. Analysis of Data Integration Method
  6. Ⅴ. Conclusion
  7. REFERENCES

참고문헌

참고문헌 신청

최근 본 자료

전체보기
260429_DBpiaAI
260319_딥리서치
260319_AI리더
260304_새학기에이전트
260429 전공별 추천 이벤트
260504 이주의질문
260304_아그논문롤
260127_아그논문
260127_AI뷰어
UCI(KEPA) : I410-ECN-0101-2017-004-002118171