ICMLA 2014 Accepted Papers Data Set
Diego Vallejo-Huanga · Data Archiving and Networked Services (DANS) · 2018
This data set compromises the metadata for the 2014 ICMLA conference's accepted papers, including ID, paper titles, author's keywords, abstracts and sessions 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 105 instances and 5 attributes. Attribute Information: Paper_Id: Number; identifier of the paper Paper_Title: Free text; title of the paper Author_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