Naslov
Survey of the dataset meta-features

Autori
Oreški, Dijana ; Kadoić, Nikola

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
85 th International Scientific Conference on Economic and Social Development, Book of Proceedings / Pinto da Costa, Maria E. ; do Rosario Anjos, Maria ; Roska Vlasta - Porto, 2022, 9-16

Skup
Economic and social development : 85th International Scientific Conference on Economic and Social Development

Mjesto i datum
Porto, Portugal, 21.07.2022. - 22.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Meta-learning, meta-features, dataset characteristics, machine learning

Sažetak
Machine learning is an active area of research and has seen the development of many algorithms. Machine learning practitioners at different levels frequently face a similar problem: What algorithm best suits their data? Recent meta-learning research automates this procedure using a meta- classifier to predict the best algorithm for a given dataset. Meta-features are used to describe the properties and characteristics of datasets and construct the feature space for meta-learning. In this paper, we performed a literature survey to recognize meta-features that should be taken into account when providing meta-learning research and identify directions for further research in this area.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA