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- W3147840120 abstract "In recent years, the quantity of big scholarly data has a rapid growth, which brings new problems and challenges to the big scholarly data analysis. This paper employs the probability theory and correlation analysis methods to analyze the dynamics of publicly available research meta-data from IEEE official site. The experiment gives several visual evolution results of the correlations about journals and subjects, which provides some indications for future related research." @default.
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- W3147840120 date "2020-12-01" @default.
- W3147840120 modified "2023-10-16" @default.
- W3147840120 title "Analysis of IEEE Literature Statics and Dynamics based on probability theory and correlation analysis" @default.
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- W3147840120 doi "https://doi.org/10.1109/msieid52046.2020.00034" @default.
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