ICMLA 2014/2015/2016/2017 Accepted Papers Data Set
Published: 15 January 2019| Version 2 | DOI: 10.17632/wj5vb6h9jy.2
Contributors:
, , Description
This data set compromises the metadata for the 2014, 2015, 2016 and 2017 ICMLA conference's accepted papers, including: paper ID, titles, keywords, abstracts, sessions and year in which they were exposed. Data Set Information: CSV format where each row is a paper and each column an attribute. It is a multivariate dataset, with 448 instances and 6 attributes. Attribute Information: Paper_Id: Number; identifier of the paper Title: Free text; title of the paper Keywords: Free text; author-generated keywords Abstract: Free text; paper abstracts Session: Categorical; conference organizer's-selected, conference session in which the paper was presented Year: Number; year of the conference
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Institutions
Universidad Politecnica Salesiana, Universidad San Francisco de Quito, Universitat Politecnica de Valencia
Categories
Cluster Analysis, Classification System, Pattern Recognition Clustering Process