The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Words Recommendation Algorithm for Similarity Connection based on Data Transmutability

데이터 변형성 기반 유사성 연결을 위한 단어 추천 알고리즘

  • 김분희 (동명대학교 미디어공학과)
  • Received : 2013.08.30
  • Accepted : 2013.11.15
  • Published : 2013.11.30
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Abstract

Big data which requires a different approach from existing data processing methods, is unstructured data with a variety of features. The features mean the volume of data, the rate of change of the data, the data with a variety of features. Tweets of twitter in only Korea are more than 5 millions per day. So much cheaper data storage and analysis system due to the increasing demand for information, the value of research is increasing. In this paper, the technology required by the deformation characteristics of the data elements as a technology priority-based word-based recommendation algorithm is proposed.

기존의 데이터 처리 방식과는 다른 접근이 필요한 빅데이터는 데이터의 분량, 데이터의 변화 속도, 데이터의 다양성의 특징을 가진 비정형 데이터이다. 트위터의 트윗(tweet)이 국내만 보더라도 하루 500만건이 넘는 상황이다. 이렇게 많은 데이터는 저렴해진 저장시스템과 분석정보에 대한 수요 증대로 인해 연구가치가 높아지고 있다. 본 논문에서는 이러한 기술에서 요구되는 요소 기술로써 데이터 변형성의 특징을 기반으로 우선순위기반 단어 추천 알고리즘을 제안한다.

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References

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