한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제16권8호
  • /
  • Pages.1-10
  • /
  • 2011
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  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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데이터 마이닝을 적용한 기업형 클라우드 컴퓨팅 기반 데이터 처리 기법

Data processing techniques applying data mining based on enterprise cloud computing

  • 강인성 (고려대학교 정보경영공학부) ;
  • 김태호 (고려대학교 정보경영공학부) ;
  • 이홍철 (고려대학교 산업경영공학부)
  • Kang, In-Seong (Dept. of Information Management Engineering, Korea University) ;
  • Kim, Tae-Ho (Dept. of Information Management Engineering, Korea University) ;
  • Lee, Hong-Chul (Dept. of Industrial Management Engineering, Korea University)
  • 투고 : 2011.03.21
  • 심사 : 2011.05.06
  • 발행 : 2011.08.31
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초록

최근 클라우드 컴퓨팅은 인터넷 접속을 통해 언제어디서든 사용할 수 있는 높은 이용편리성과 동시에 스마트폰, 넷북, PDA 등과 같은 각종 정보통신 기기로 데이터를 손쉽게 공유할 수 있는 사용환경을 제공하기 때문에 산업적 파급효과가 커 디지털혁명을 주도할 서비스로 주목받고 있다. 이와 같은 클라우드 컴퓨팅 기반의 협업 시스템을 통해 비즈니스 실무부서 간의 업무 통합이 점차적으로 이루어지면, 관련 부서 간 공유하게 되는 데이터가 더욱 많아지기 때문에 실무자가 필요한 데이터를 보다 쉽게 찾아 사용할 수 있는 방법이 필요하다. 기존 연구에서는 군집화를 통해 탐색과정을 단순화했지만, 본 논문에서는 관련 부서 간에 자주 발생하는 데이터 중복을 제거하고 시스템 성능을 향상시키기 위해 해쉬함수를 사용하고, 변경된 데이터에 대한 정보가 동적으로 반영되어 실무자에게 적합한 데이터가 분류될 수 있도록 데이터 마이닝 기법 중 베이지안 네트워크를 사용한 시스템을 제안하였다. 본 시스템은 기존 방법과 비교하여 탐색기능이 향상된 결과를 나타내었을 뿐만 아니라, CPU, Network Bandwidth 사용량 등의 시스템 성능에도 효율적인 것을 확인하였다.

Recently, cloud computing which has provided enabling convenience that users can connect from anywhere and user friendly environment that offers on-demand network access to a shared pool of configurable computing resources such as smart-phones, net-books and PDA etc, is to be watched as a service that leads the digital revolution. Now, when business practices between departments being integrated through a cooperating system such as cloud computing, data streaming between departments is getting enormous and then it is inevitably necessary to find the solution that person in charge and find data they need. In previous studies the clustering simplifies the search process, but in this paper, it applies Hash Function to remove the de-duplicates in large amount of data in business firms. Also, it applies Bayesian Network of data mining for classifying the respect data and presents handling cloud computing based data. This system features improved search performance as well as the results Compared with conventional methods and CPU, Network Bandwidth Usage in such an efficient system performance is achieved.

키워드

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피인용 문헌

  1. 클라우드 컴퓨팅 환경에서 무감독학습 방법과 퍼지이론을 이용한 결합형 데이터 분류기법 vol.19, pp.8, 2011, https://doi.org/10.9708/jksci.2014.19.8.011