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A dataset of attributes from papers of a machine learning conference

Authors :
Paulina Morillo
Diego Vallejo-Huanga
Cèsar Ferri
Source :
Data in Brief, RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, Data in Brief, Vol 24, Iss, Pp-(2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

[EN] In this work, we present a dataset which provides information on the scientific program of a set conferences of Machine Learning. Data were extracted from the IEEE Xplore Digital Library and the official web site of the International Conference on Machine Learning Applications (ICMLA). We include data of four different editions (from 2014 to 2017). Web scrapping techniques were used to mine the data contained in these web sites. The dataset covers 448 papers presented in the conference and every paper contains 6 attributes including information about the thematic session in which they were presented in the conference. The dataset is hosted in the Mendeley Dataset Repository.<br />This work was partially supported by IDEIAGEOCA Research Group of the Universidad Politecnica Salesiana. This work also has been supported by the EU (FEDER) and the Spanish MINECO under grant TIN2015-69175-C4-1-R, and by Generalitat Valenciana PROMETE0112019/018.

Details

Language :
English
ISSN :
23523409
Volume :
24
Database :
OpenAIRE
Journal :
Data in Brief
Accession number :
edsair.doi.dedup.....ed69929269f15d4bf623b722443dbed2