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ICMLA 2014 Accepted Papers Data Set Data Set
Download: Data Folder, Data Set Description

Abstract: 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 Characteristics:  

Multivariate

Number of Instances:

105

Area:

N/A

Attribute Characteristics:

N/A

Number of Attributes:

5

Date Donated

2018-02-19

Associated Tasks:

Classification, Clustering

Missing Values?

N/A

Number of Web Hits:

23427


Source:

Diego Vallejo-Huanga, dvallejoh '@' asig.com.ec, Professor of the Department of Mathematics, Universidad San Francisco de Quito.


Data Set Information:

CSV format where each row is a paper and each column an attribute.


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


Relevant Papers:

[1] Vallejo-Huanga, Diego, Paulina Morillo, and Cesar Ferri. 2017. “Semi-Supervised Clustering Algorithms for Grouping Scientific Articles.” In Procedia Computer Science, 108:325–34. Elsevier B.V. [Web Link].
[2] Vallejo, Diego, Paulina Morillo, and Cesar Ferri. 2017. “ADoCS: Automatic Designer of Conference Schedules.” In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 41-44).



Citation Request:

[1] Vallejo-Huanga, Diego, Paulina Morillo, and Cesar Ferri. 2017. “Semi-Supervised Clustering Algorithms for Grouping Scientific Articles.” In Procedia Computer Science, 108:325–34. Elsevier B.V. [Web Link].
[2] Vallejo, Diego, Paulina Morillo, and Cesar Ferri. 2017. “ADoCS: Automatic Designer of Conference Schedules.” In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics (pp. 41-44).


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