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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.5, No.6, May. 2013

Prediction of Possible Business of a Newly Launched Film using Ordinal Values of Film-genres

Full Text (PDF, 588KB), PP.53-60


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Author(s)

Debaditya Barman, Rupesh Kumar Singha, Nirmalya Chowdhury

Index Terms

Film Industry, Movie Genre, Profit Group, Artificial Neural Network, Back- Propagation Learning

Abstract

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.

Cite This Paper

Debaditya Barman, Rupesh Kumar Singha, Nirmalya Chowdhury,"Prediction of Possible Business of a Newly Launched Film using Ordinal Values of Film-genres", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.6, pp.53-60, 2013.DOI: 10.5815/ijisa.2013.06.07

Reference

[1]en.wikipedia.org/wiki/Film.

[2]en.wikipedia.org/wiki/Film_industry

[3]www.the-numbers.com/glossary.php

[4]en.wikipedia.org/wiki/List_of_most_expensive_films

[5]en.wikipedia.org/wiki/List_of_highest-grossing_films

[6]en.wikipedia.org/wiki/City_Island_%28film%29

[7]en.wikipedia.org/wiki/Zyzzyx_Road

[8]"Stock Market Prediction with Back propagation Networks" by Bernd Freisleben Published in: IEA/AIE '92 Proceedings of the 5th international conference on Industrial and engineering applications of artificial intelligence and expert systems

[9]"Training back propagation neural networks with genetic algorithm for weather forecasting" by Gill, J.; Singh, B.; Singh, S.; This paper appears in: Intelligent Systems and Informatics (SISY), 2010 8th International Symposium

[10]"Multispectral image-processing with a three-layer back propagation network" by McClellan, G.E.; DeWitt, R.N.; Hemmer, T.H.; Matheson, L.N.; Moe, G.O.; Pacific-Sierra Res. Corp., Arlington, VA This paper appears in: Neural Networks, 1989. IJCNN., International Joint Conference

[11]Time Series Prediction and Neural Networks R.J.Frank, N.Davey, S.P.Hunt Department of Computer Science, University of Hertfordshire, Hatfield, UK.

[12]An Efficient Weather Forecasting System using Artificial Neural Network Dr. S. SanthoshBaboo and I.KadarShereef

[13]http://en.wikipedia.org/wiki/Film_genre

[14]http://www.imdb.com/title/tt1298650/

[15]"Machine Learning" by Tom Mitchell page 81 

[16]http://en.wikipedia.org/wiki/Backpropagation

[17]"Image Compression with Back-Propagation Neural Network using Cumulative Distribution Function" by S. Anna Durai, and E. Anna Saro

[18]"Satellite Image Classification using the Back Propagation Algorithm of Artificial Neural Network." by Mrs. Ashwini T. Sapkal, Mr. ChandraprakashBokhare and Mr. N. Z. Tarapore

[19]"Irregular shapes classification by back-propagation neural networks " by Shih-Wei Lin, Shuo-Yan Chou and Shih-Chieh Chen

[20]"Email Classification Using Back Propagation Technique " by TaiwoAyodele, Shikun Zhou, RinatKhusainov

[21]"Parallel back-propagation for the prediction of time series" by Frank M. Thiesing, Ulrich Middelberg and Oliver Vornberger

[22]"Applying back propagation neural networks to bankruptcy prediction" by Yi-Chung Hu and Fang-Mei Tseng

[23]"An Efficient Weather Forecasting System using Artificial Neural Network" by Dr. S. SanthoshBaboo and I.KadarShereef

[24]Data Mining: Concepts and Techniques, 2nd ed.Page 328