Movie Success Prediction using Data Mining
Anantharaman v, Albertian Institute Of Science and Technology; P.R Rahul ,Albertian Institute Of Science and Technology; Ebin G. Job ,Albertian Institute Of Science and Technology; Neha Sam ,Albertian Institute Of Science and Technology; Asst. Prof. Sheryl Maria Sebastian ,Albertian Institute Of Science and Technology
Data Mining, Cleaning, Decision Tree, Attributes
In this project, we developed a mathematical model to predict the success and failure of upcoming movies based on several attributes. Some of the attributes in calculating the success of a movie include director, actor, genre, and budget. In this model Data mining process was used to extract patterns and trends which can be beneficial in predicting movies success. The data mining techniques were applied to a movie database, but before the mining techniques could be used, the data went through the cleaning and integration process. Decision tree classifiers are used in this paper to generate decision tree for given inputs containing various attributes. Movie success prediction is also significant for the movie watchers who need to know in advance the quality and success rating of a movie.
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Paper ID: GRDCF013069
Published in: Conference : National Conference on Emerging Research Trend in Electrical and Electronics Engineering (ERTE’19)
Page(s): 312 - 314
Published in: Conference : National Conference on Emerging Research Trend in Electrical and Electronics Engineering (ERTE’19)
Page(s): 312 - 314