Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods
The evaluation of feature selection methods for text classification with small sample datasets must consider classification performance, stability, and efficiency. It is, thus, a multiple criteria decision-making (MCDM) problem. Yet there has been few research in feature selection evaluation using M...
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Published in | Applied soft computing Vol. 86; p. 105836 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.01.2020
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Subjects | |
Online Access | Get full text |
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