earticle

논문검색

A Novel Decision Model to Support the Prediction of Asthma Among the Big Data’s of Various Different Patient’s

초록

영어

The capability of distributed computing for overriding the requirements for sending different frameworks for running a server based administrations raised a progressive change in the way the conventional requests of the individuals utilization to be taken care of. Distributed computing gives the rental support of the client in which a client can utilize the specific programming by paying for that on the cloud server. Since the entire situation is useful for enormous businesses like facebook, google, orkut and so on, different fields are likewise getting reliant on distributed computing. Since huge amounts of information is transferring consistently to the cloud server does should be dug appropriately for productive information stockpiling. In this paper, we attempt to coordinate the information preprocessing strategy with an information grouping method to mine enormous information's of asthma based patients. We have utilized simulation tool called eclipse to run the Programming interface's of weak and cloudsim for setting up the trial environment.

목차

Abstract
 1. Introduction
  1.1 Basic Models of Cloud Computing
  1.2 Types of Asthma
 2. Related Work
 3. Proposed Appraoch
 4. Conclusion
 References

저자정보

  • Abhinav Hans Department of CSE, GNDU Regional Campus, Jalandhar
  • Navdeep Singh Department of CSE, GNDU Regional Campus, Jalandhar
  • Sheetal Kalra Department of CSE, GNDU Regional Campus, Jalandhar

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.