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Pregled bibliografske jedinice broj: 782199

Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics

Oreški, Dijana, Konecki, Mario
Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics // Proceedings of the 18th International Multiconference INFORMATION SOCIETY – IS 2015 / Gams, Matjaž ; Piltaver, Rok (ur.).
Ljubljana, 2015. str. 84-87 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics

Autori
Oreški, Dijana, Konecki, Mario

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

Izvornik
Proceedings of the 18th International Multiconference INFORMATION SOCIETY – IS 2015 / Gams, Matjaž ; Piltaver, Rok - Ljubljana, 2015, 84-87

Skup
INFORMATION SOCIETY – IS 2015

Mjesto i datum
Ljubljana, Slovenija, 07.10.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Data set characteristics ; meta learning ; classification accuracy ; neural networks ; decision trees ; discriminant analysis.

Sažetak
Many classification algorithms have been proposed, but not all of them are appropriate for a given classification problem. At the same time, there is no good way to choose appropriate classification algorithm for the problem at hand. In this paper, a meta learning data set classification algorithm recommendation, based on characteristics, is presented. An experimental study is performed using 128 real-world data sets and all research made has pointed to the same result: data sets characteristics significantly affect classification accuracy. Guidance in selection of classification algorithm based on data set characteristics is provided.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Dijana Oreški (autor)

Citiraj ovu publikaciju:

Oreški, Dijana, Konecki, Mario
Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics // Proceedings of the 18th International Multiconference INFORMATION SOCIETY – IS 2015 / Gams, Matjaž ; Piltaver, Rok (ur.).
Ljubljana, 2015. str. 84-87 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Oreški, Dijana, Konecki, Mario (2015) Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics. U: Gams, M. & Piltaver, R. (ur.)Proceedings of the 18th International Multiconference INFORMATION SOCIETY – IS 2015.
@article{article, year = {2015}, pages = {84-87}, keywords = {Data set characteristics, meta learning, classification accuracy, neural networks, decision trees, discriminant analysis.}, title = {Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics}, keyword = {Data set characteristics, meta learning, classification accuracy, neural networks, decision trees, discriminant analysis.}, publisherplace = {Ljubljana, Slovenija} }
@article{article, year = {2015}, pages = {84-87}, keywords = {Data set characteristics, meta learning, classification accuracy, neural networks, decision trees, discriminant analysis.}, title = {Selection of Classification Algorithm Using a Meta Learning Approach Based on Data Sets Characteristics}, keyword = {Data set characteristics, meta learning, classification accuracy, neural networks, decision trees, discriminant analysis.}, publisherplace = {Ljubljana, Slovenija} }

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