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- W4313444056 abstract "In the work illustrated, an effective approach has been proposed for handling data for the cloud computing environment. Here, the sensitivity of data is derived from data weights that in turn based on the size of the file and attribute scale for the preprocessing. The categorization of the sensitivity is based on the 10 attributes, and it has been selected on the basis of the size and information of data. Afterward, for clustering of similar elements, K-means clustering algorithm is applied which clusters the data in maximum of 5 clusters. It is been used to perform data sensitivity analysis and encryption. In terms of data categorization and processing in a cloud computing environment, the approach demonstrates its efficacy." @default.
- W4313444056 created "2023-01-06" @default.
- W4313444056 creator A5041506920 @default.
- W4313444056 creator A5047407946 @default.
- W4313444056 date "2023-01-01" @default.
- W4313444056 modified "2023-09-30" @default.
- W4313444056 title "Data Clustering Approach on the Basis of Data Sensitivity for Implementation of Secure Cloud Computing Environment" @default.
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- W4313444056 doi "https://doi.org/10.1007/978-981-19-5868-7_53" @default.
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