AAAI 2014 Accepted Papers
Donated on 7/29/2014
This data set compromises the metadata for the 2014 AAAI conference's accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Clustering
Feature Type
-
# Instances
399
# Features
-
Dataset Information
Additional Information
CSV format where each row is a paper and each column an attribute.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 6 of 6
Additional Variable 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
Dataset Files
| File | Size |
|---|---|
| [UCI] AAAI-14 Accepted Papers - Papers.csv | 538.6 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset aaai_2014_accepted_papers = fetch_ucirepo(id=307) # data (as pandas dataframes) X = aaai_2014_accepted_papers.data.features y = aaai_2014_accepted_papers.data.targets # metadata print(aaai_2014_accepted_papers.metadata) # variable information print(aaai_2014_accepted_papers.variables)
Brodley, C. (2014). AAAI 2014 Accepted Papers [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5S31F.
Creators
Carla Brodley
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.