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논문검색

Integrating Normalization with Random Tree Data Mining Approach for Mining Cloud Based Big Data’s of Asthma Patient’s

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 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

저자정보

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

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