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AAAI 2013 Accepted Papers Data Set
Download: Data Folder, Data Set Description

Abstract: This data set compromises the metadata for the 2013 AAAI conference's accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity.

Data Set Characteristics:  

Multivariate

Number of Instances:

150

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

5

Date Donated

2014-07-30

Associated Tasks:

Clustering

Missing Values?

N/A

Number of Web Hits:

24232


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 is an attribute.


Attribute Information:

Title: Free text; title of the paper
Keywords: Free text; author-generated keywords
Topics: Categorical; author-selected, low-level keywords from conference-provided list
High-level keywords: Categorical; author-selected, high-level keywords from conference-provided list


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:

Please refer to the Machine Learning Repository's citation policy


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