Earticle

초록

영어

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 software’s on pay per use option which make it easier for the people who are not able to meet the economic requirements. Since the whole scenario is beneficial to big industries like facebook, google, orkut etc , various order fields are also getting dependent on cloud computing. Since tons of data is uploading every second to the cloud server does needs 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.

목차

Abstract
 1. Introduction
 2. Asthma Overview
 3. Literature Survey
 4. Proposed Approach
  4.1 Data preprocessing:
  4.2 Feature Extraction:
  4.3 Patient Health Condition Classification:
 5. Conclusion and Future Work
 References

키워드

저자

• Abhinav Hans [ Department of Computer science, CT Group of Institutions, Jalandhar, Punjab, India ]
• Sukhdeep Kaur [ Department of Computer science, DAVIET, Jalandhar, Punjab, India ]
• Navdeep Singh [ Department of FCS, GNA University, Phagwara, Punjab, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605