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- W94959834 abstract "We present a case study of a difficult real-world pattern recognition problem: predicting hard drive failure using attributes monitored internally by individual drives. We compare the performance of support vector machines (SVMs), unsupervised clustering, and non-parametric sta- tistical tests (rank-sum and reverse arrangements). Some- what surprisingly, the rank-sum method outperformed the other methods, including SVMs. We also show the utility of using non-parametric tests for feature set selection." @default.
- W94959834 created "2016-06-24" @default.
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- W94959834 date "2003-01-01" @default.
- W94959834 modified "2023-09-23" @default.
- W94959834 title "Hard drive failure prediction using non-parametric statistical methods" @default.
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