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- W2894967689 abstract "Present days parallel, distributed or cloud computing technologies have been able to regulate large data sets efficiently. An important part of information technology is extensive data processing. This is because of availability and accelerated surge of data. Data mining is the process of examining large preexisting databases or raw data to generate new information for further use. Data mining algorithms must be efficient and effective in order to produce some meaningful output. The applications for these are limitless, from predicting a specific disease to very complex applications. In this research paper, we have compared most popular data mining algorithms with respect to conceptual architectures and advantages and disadvantages of them. Finally, we have proposed a new efficient data mining algorithm named as sifted K-means with independent K-value (SKIK) algorithm." @default.
- W2894967689 created "2018-10-12" @default.
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- W2894967689 date "2018-10-05" @default.
- W2894967689 modified "2023-09-25" @default.
- W2894967689 title "Data Mining in High-Performance Computing: A Survey of Related Algorithms" @default.
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- W2894967689 doi "https://doi.org/10.1007/978-981-13-1544-2_35" @default.
- W2894967689 hasPublicationYear "2018" @default.
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