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Learning from imbalanced data sets

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This title provides a general and comprehensible overview of imbalanced learning.

It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions.

Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge.

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£129.50
Product Details
Springer
3319980742 / 9783319980744
eBook (Adobe Pdf, EPUB)
006.31
22/10/2018
English
375 pages
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