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

Abstract: This data set compromises the metadata for the 2014 AAAI conference's accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity.

Data Set Characteristics:  

Multivariate

Number of Instances:

399

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

6

Date Donated

2014-07-30

Associated Tasks:

Clustering

Missing Values?

N/A

Number of Web Hits:

58676


Source:

Carla Brodley
c.brodley '@' neu.edu
Dean of the College of Computer and Information Science
Northeastern University


Data Set Information:

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


Attribute Information:

Title: Free text; title of the paper
Authors: Free text; author(s) of the paper
Groups: Categorical; author-selected, high-level keyword(s)
Keywords: Free text; author-generated keywords
Topics: Free text; author-selected, low-level keywords
Abstracts: Free text; paper abstracts


Relevant Papers:

Discovering Better AAAI Keywords via Clustering with Community-sourced Constraints
Kelly H. Moran, Byron C. Wallace and Carla E. Brodley
AAAI Conference on Artificial Intelligence (AAAI), 2014



Citation Request:

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