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A dataset of attributes from papers of a machine learning conference

  • Diego Vallejo-Huanga
  • , Paulina Morillo
  • , Cèsar Ferri*
  • *Corresponding author for this work
  • Universidad Politécnica Salesiana, Quito
  • Universidad de las Américas - Ecuador
  • Inter-Universitary institute from Polytechnic University of Valencia and University of Valencia

Research output: Contribution to journalArticlepeer-review

10 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 languageEnglish
Article number103836
JournalData in Brief
Volume24
DOIs
StatePublished - Jun 2019

Keywords

  • Machine learning
  • Scientific documents

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