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- W2894401386 abstract "Data mining is the procedure for extracting relevant data on a specific category. Now a day's from diversified items a unique relevant set extraction is main. Here different clustering algorithms were used and compared with their time of execution and accuracy. Our proposing clustering scheme helps the user in attracting and providing satisfaction in a relevant search. Notification services, considered as an example in this paper, the dynamic database are a major development in our development, whereas previously it completely depends on static version data set. Cover tree and supporting dynamic item sorting with Editing, inserting and deleting items in the database and provides the theoretical bounds which enhances the characteristics of cover tree solutions with respect to optimizing the data. Results include the accuracy for providing the valid information on proposing approach." @default.
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- W2894401386 date "2018-04-01" @default.
- W2894401386 modified "2023-09-25" @default.
- W2894401386 title "Advisory Search and Security on Data Mining using Clustering Approaches" @default.
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- W2894401386 doi "https://doi.org/10.1109/icicct.2018.8473252" @default.
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