Debaditya Barman

Work place: Department of Computer Science and Engineering Jadavpur University, Kolkata - 700032, India

E-mail: debadityabarman@gmail.com

Website:

Research Interests: Business & Economics & Management, Computational Learning Theory, Data Mining, Data Structures and Algorithms

Biography

Debaditya Barman: Debaditya Barman is a Research Fellow in Computer Sc. and Engg. Department, Jadavpur University, India. He has obtained his B.E. and M.E. (Computer Sc. And Engg.)from Jadavpur University, India. His areas of interests are Machine Learning, Business intelligence, Data mining and Opinion mining.

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

By Debaditya Barman Nirmalya Chowdhury

DOI: https://doi.org/10.5815/ijieeb.2013.04.04, Pub. Date: 8 Oct. 2013

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.

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

By Debaditya Barman Rupesh Kumar Singha Nirmalya Chowdhury

DOI: https://doi.org/10.5815/ijisa.2013.06.07, Pub. Date: 8 May 2013

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.

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A Method of Movie Business Prediction Using Back-propagation Neural Network

By Debaditya Barman Nirmalya Chowdhury

DOI: https://doi.org/10.5815/ijitcs.2012.11.09, Pub. Date: 8 Oct. 2012

Film industry is the most important component of Entertainment industry. Profit and Loss both are very high for this business. Before release of a particular movie, if the Production House or distributors gets any type of prediction that how the film will do business, then it can be helpful to reduce the risk. In this paper we have proposed, back propagation neural network for prediction about the business of a movie. Note that, this method is successfully applied in the field of Stock Market Prediction, Weather Prediction and Image Processing.

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Other Articles