%0 Journal Article
%T Prediction of Possible Business of a Newly Launched Film using Ordinal Values of Film-genres
%A Debaditya Barman
%A Rupesh Kumar Singha
%A Nirmalya Chowdhury
%J International Journal of Intelligent Systems and Applications
%D 2013
%I MECS Publisher
%R 10.5815/ijisa.2013.06.07
%X Film industry is the most important component of entertainment industry. Both profit and loss are very high for this business. Like every other business, business prediction system plays a vital role for this industry. Before release of a particular movie, if the Production Houses or distributors get any type of prediction that how the film will do business, then it will be very useful to reduce the risk of the investors. In this paper we have proposed a method using back propagation neural network for prediction about a given movie¡¯s profitability. Initially the entire range of profit-loss has been divided into a number of groups. The proposed algorithm can assign a given movie to it¡¯s appropriate profit-loss group. Note that, a similar such method has been successfully applied in the field of Stock Market Prediction, Weather Prediction and Image Processing.
%K Film Industry
%K Movie Genre
%K Profit Group
%K Artificial Neural Network
%K Back- Propagation Learning
%U http://www.mecs-press.org/ijisa/ijisa-v5-n6/v5n6-7.html