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A dataset of attributes from papers of a machine learning conference
- 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.
- Subjects :
- Computer science
Machine learning
computer.software_genre
lcsh:Computer applications to medicine. Medical informatics
Set (abstract data type)
03 medical and health sciences
0302 clinical medicine
Session (computer science)
lcsh:Science (General)
030304 developmental biology
Web site
0303 health sciences
Multidisciplinary
business.industry
Digital library
Thematic map
Work (electrical)
Computer Science
lcsh:R858-859.7
Artificial intelligence
Scientific documents
business
computer
LENGUAJES Y SISTEMAS INFORMATICOS
030217 neurology & neurosurgery
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 23523409
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....ed69929269f15d4bf623b722443dbed2