A dataset of attributes from papers of a machine learning conference

Diego Vallejo-Huanga; Paulina Morillo; Cèsar Ferri

doi:10.1016/j.dib.2019.103836

A dataset of attributes from papers of a machine learning conference

Diego Vallejo-Huanga, Paulina Morillo, Cèsar Ferri

Spatial Data Infrastructure Research Group Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Article number	103836
Pages (from-to)	103836
Journal	Data in Brief
Volume	24
DOIs	https://doi.org/10.1016/j.dib.2019.103836
State	Published - 1 Jun 2019

Bibliographical note

Funding Information:
This work was partially supported by IDEIAGEOCA Research Group of the Universidad Politécnica 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 PROMETEOII2019/018 .

Publisher Copyright:
© 2019 The Author(s)

Keywords

Machine learning
Scientific documents

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10.1016/j.dib.2019.103836

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A dataset of attributes from papers of a machine learning conference

Abstract

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