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The emerging new data types bring tremendous challenges to data mining. There is an enormous amount of high-dimensional class-imbalanced data in different fields. In this case, traditional classification methods are not appropriate because they are prone to ensure the accuracy of the majority class. Meanwhile, the curse of dimensionality makes situations more complicated. Finding a complicated classifier...
An empirical analysis is made, based on the capital allocation efficiency model of Jeffrey Wurgler, on the quantitative relationship between physical capital growth and profit growth of Chinese papermaking and paper products industry. The results show that the physical capital allocation of China papermaking and paper products industry is inefficient. Therefore the main factors which constrain physical...
Data have been accumulated to wait for being analyzed in real world. But the imperfection of data complicates the analysis process. According to “garbage in, garbage out”, model built on such data will mislead the following study. Multiple empirical studies have showed that noise in dataset dramatically decrease the classification accuracy and increase the complexity of classification. Therefore,...
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