A review on preprocessing algorithm selection with meta-learning

Several AutoML tools aim to facilitate the usability of machine learning algorithms, automatically recommending algorithms using techniques such as meta-learning, grid search, and genetic programming. However, the preprocessing step is usually not well handled by those tools. Thus, in this work, we...

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Vydané v:	Knowledge and information systems Ročník 66; číslo 1; s. 1 - 28
Hlavní autori:	Pio, Pedro B., Rivolli, Adriano, Carvalho, André C. P. L. F. de, Garcia, Luís P. F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.01.2024 Springer Nature B.V
Predmet:	Algorithms Computer Science Data Mining and Knowledge Discovery Database Management Genetic algorithms Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Machine learning Performance measurement Preprocessing Review Systematic review Algorithm selection Systematic review Preprocessing Meta-learning
ISSN:	0219-1377, 0219-3116
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