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YouTube Multiview Video Games Dataset Data Set
Download: Data Folder, Data Set Description
Abstract: This dataset contains about 120k instances, each described by 13 feature types, with class information, specially useful for exploring multiview topics (cotraining, ensembles, clustering,..).
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Data Set Characteristics: |
Multivariate, Text |
Number of Instances: |
120000 |
Area: |
Computer |
Attribute Characteristics: |
Integer, Real |
Number of Attributes: |
1000000 |
Date Donated |
2013-10-16 |
Associated Tasks: |
Classification, Clustering |
Missing Values? |
Yes |
Number of Web Hits: |
164911 |
Source:
Omid Madani , madani '@' google.com, Google Inc.
Data Set Information:
Please see the README for the details on the data organization, and so on.
Attribute Information:
Please see the README.
Relevant Papers:
[Provide references to papers that have cited this data set in the past (if any).]
Our recent work used a close version of this dataset:
On Using Nearly-Independent Feature Families for High Precision and Confidence, in Machine Learning Journal, 2013 (please see the citation request) and an earlier version in Asian Conference on Machine Learning (ACML 2012):
On Using Nearly-Independent Feature Families for High Precision and Confidence. O. Madani, M. Georg, and D. Ross. ACML 2012.
Citation Request:
Please cite the following (also specified in the README):
@article{madaniEtAl2013MLJ,
title= {On Using Nearly-Independent Feature Families for High Precision and Confidence}
author = {Omid Madani and Manfred Georg and David A. Ross},
journal = {Machine Learning},
year = {2013},
volume = {92},
pages = {457-477},
note = {published online 30 May 2013, [Web Link]},
}
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