Titlebook: Some Properties of Differentiable Varieties and Transformations; With Special Referen Beniamino Segre Book 1971Latest edition Springer-Verl

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Beniamino Segreility of SascB and Boosting, and further increase their average accuracy. It generates multiple committees by incorporating Bagging into SascB. As well as improving stability and average accuracy, the resulting method is amenable to parallel or distributed processing, while Boosting and SascB are no

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Beniamino Segre independent of the core mining process, and so can be easily implemented with any specific technique for association rule mining. In our experiments using controlled datasets, we found that we could get up to 98._3% accuracy with our techniques as opposed to 26.6% when directly using the results of

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