Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Study on the Impact of Big Data on Radio and Television Ratings

Authors
Jianping Chai, Xingyi Pan, Fulian Yin, Juanfang Chai
Corresponding Author
Jianping Chai
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.297How to use a DOI?
Keywords
Radio; Television; Big Data; Ratings; Sampling; Full Sample
Abstract
For problems, such as the low accuracy and easily polluted data of the traditional sampling ratings index calculation method, we conduct research on the ratings of big data. Firstly, we argue the effect of the amount of data on the accuracy of the ratings, and do experiments using real data. By sampling with replacement, sampling without replacement and stratified sampling, we verify that the increase of the amount of data will improve the accuracy of the estimation. Finally, this paper explains the necessity of radio and television big data analysis.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.297How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianping Chai
AU  - Xingyi Pan
AU  - Fulian Yin
AU  - Juanfang Chai
PY  - 2015/04
DA  - 2015/04
TI  - Study on the Impact of Big Data on Radio and Television Ratings
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.297
DO  - https://doi.org/10.2991/amcce-15.2015.297
ID  - Chai2015/04
ER  -