Debaditya Barman; Nirmalya Chowdhury

Estimation of Possible Profit/ Loss of a New Movie Using “Natural Grouping” of Movie Genres

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Author(s)

Debaditya Barman ^1,* Nirmalya Chowdhury ²

1. Department of Computer Science, University of GourBanga, Malda -732103, West Bengal, India

2. Department of Computer Science and Engineering, Jadavpur University, Kolkata - 700032, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2013.04.04

Received: 15 Jul. 2013 / Revised: 12 Aug. 2013 / Accepted: 1 Sep. 2013 / Published: 8 Oct. 2013

Index Terms

Film industry, Film genre, Backpropagation network, ANN, MST Clustering, Natural Grouping

Abstract

Film industry is the most important component of entertainment industry. A large amount of money is invested in this high risk industry. Both profit and loss are very high for this business. Thus if the production houses have an option to know the probable profit/loss of a completed movie to be released then it will be very helpful for them to reduce the said risk. We know that artificial neural networks have been successfully used to solve various problems in numerous fields of application. For instance backpropagation neural networks have successfully been applied for Stock Market Prediction, Weather Prediction etc. In this work we have used a backpropagation network that is being trained using a subset of data points. These subsets are nothing but the “natural grouping” of data points, being extracted by an MST based clustering methods. The proposed method presented in this paper is experimentally found to produce good result for the real life data sets considered for experimentation.

Cite This Paper

Debaditya Barman, Nirmalya Chowdhury, "Estimation of Possible Profit/ Loss of a New Movie Using “Natural Grouping” of Movie Genres", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.5, no.4, pp.24-33, 2013. DOI:10.5815/ijieeb.2013.04.04

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International Journal of Information Engineering and Electronic Business (IJIEEB)