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A Review on Cloud Data Mining and Data Integrity


Affiliations
1 School of Computer Science, CMS College, Coimbatore, India
2 Department of MCA, Oxford College of Engineering, Bangalore, India
3 Department of Computer Applications, Karunya University, Coimbatore, India
     

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This paper presents a review of how data mining is used in cloud computing as discussed in various research contributions. Cloud computing has become a viable mainstream solution for data processing, storage and distribution. It promises on demand, scalable, pay-as-you-go compute and storage capacity. To analyze "big data" on clouds, it is very important to research data mining strategies based on cloud computing paradigm from both theoretical and practical views. The purpose of this paper is to study a strategy of data mining on cloud. Hadoop, one of the open source implementation of Map reduce framework is very useful in distributed data mining concepts. While outsourcing data to the mining process in cloud environment the integrity of data should be maintained. Here a discussion is being given on cloud computing security issues and solutions as given in various research papers.

Keywords

Cloud Computing, Association Rule Mining, Map Reduce, Data Integrity, Outsourcing, Security Model.
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  • A Review on Cloud Data Mining and Data Integrity

Abstract Views: 240  |  PDF Views: 3

Authors

R. Sumithra
School of Computer Science, CMS College, Coimbatore, India
Sujni Paul
Department of MCA, Oxford College of Engineering, Bangalore, India
V. Thavavel
Department of Computer Applications, Karunya University, Coimbatore, India

Abstract


This paper presents a review of how data mining is used in cloud computing as discussed in various research contributions. Cloud computing has become a viable mainstream solution for data processing, storage and distribution. It promises on demand, scalable, pay-as-you-go compute and storage capacity. To analyze "big data" on clouds, it is very important to research data mining strategies based on cloud computing paradigm from both theoretical and practical views. The purpose of this paper is to study a strategy of data mining on cloud. Hadoop, one of the open source implementation of Map reduce framework is very useful in distributed data mining concepts. While outsourcing data to the mining process in cloud environment the integrity of data should be maintained. Here a discussion is being given on cloud computing security issues and solutions as given in various research papers.

Keywords


Cloud Computing, Association Rule Mining, Map Reduce, Data Integrity, Outsourcing, Security Model.