Movie Popularity Classification based on Inherent Movie Attributes using C4.5, PART and Correlation Coefficient

Khalid Ibnal Asad, Tanvir Ahmed, Md. Saiedur Rahman

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11 Citationer (Scopus)
512 Downloads (Pure)

Abstrakt

Abundance of movie data across the internet makes it an obvious candidate for machine learning and knowledge discovery. But most researches are directed towards bi-polar classification of movie or generation of a movie recommendation system based on reviews given by viewers on various internet sites. Classification of movie popularity based solely on attributes of a movie i.e. actor, actress, director rating, language, country and budget etc. has been less highlighted due to large number of attributes that are associated with each movie and their differences in dimensions. In this paper, we propose classification scheme of pre-release movie popularity based on inherent attributes using C4.S and PART classifier algorithm and define the relation between attributes of post release movies using correlation coefficient.
OriginalsprogEngelsk
TitelInformatics, Electronics & Vision (ICIEV), 2012 International Conference on
Antal sider6
ForlagIEEE
Publikationsdatomaj 2012
Sider747-752
ISBN (Trykt)978-1-4673-1153-3
DOI
StatusUdgivet - maj 2012
BegivenhedInformatics, Electronics & Vision (ICIEV), 2012 International Conference on - Dhaka, Bangladesh
Varighed: 18 maj 201219 maj 2012

Konference

KonferenceInformatics, Electronics & Vision (ICIEV), 2012 International Conference on
LandBangladesh
ByDhaka
Periode18/05/201219/05/2012

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