The potential of cloud computing for overriding the needs for deploying various infrastructures for running a server based services brought up a revolutionary change in the way the traditional demands of the people use to be handled. Cloud computing provides the rental service for the user in which a user can use the particular software by paying for that on the cloud server. Since the whole scenario is beneficial to big industries like Facebook, Google, Orkut etc., various other fields are also getting dependent on cloud computing. Since tons of data is uploading every second to the cloud server does need to be mined properly for efficient data storage. In this paper we try to integrate the data preprocessing technique with data classification technique to mine big data’s of asthma based patients. We have used simulation tool called eclipse to run the API’s of weka and cloudsim for setting up the experimental environment.
목차
Abstract 1. Introduction 1.1. Models of Cloud Computing 1.2. Asthma and its Types 2. Literature Survey 3. Experimental Setup 4. Conclusion References
키워드
Big DataData MiningData pre- processingData ClassificationRandom Tree
저자
Abhinav Hans [ Department of CSE, GNDU Regional Campus, Jalandhar ]
Sheetal Kalra [ Department of CSE, GNDU Regional Campus, Jalandhar ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.8 No.6