文章基本信息

标题：Prediction of Movies popularity Using Machine Learning Techniques
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作者：Muhammad Hassan Latif ; Hammad Afzal
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2016
卷号：16
期号：8
页码：127-131
出版社：International Journal of Computer Science and Network Security
摘要：Number of movies are released every week. There is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. The prediction of movies is complex problem. Every viewer, producer, director��s production houses all are curious about the movies that how it will perform in the theatre. Many work has been done relating to movies using social networking, blogs articles but much less has been explored by the data and attributes related to a movie which is continuous and in different dimensions. We have used IMDB for our experimentation. We created dataset and then transformed it and applied machine learning approaches to build efficient models that can predict the movies popularity.
关键词：machine learning; classification; movies; logistic