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Application of Decision Tree to Predict Gross Income of a Movie
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 5 |
| Year of Publication: 2014 |
| Authors: Aditya Mandhare |
10.5120/18513-9596
|
Aditya Mandhare . Application of Decision Tree to Predict Gross Income of a Movie. International Journal of Computer Applications. 106, 5 ( November 2014), 1-7. DOI=10.5120/18513-9596
Abstract
Decision Trees are powerful and popular tools for prediction. These trees are especially useful where in addition to the accuracy of the prediction, the reason for the prediction is also important. This paper presents an application where these decision trees would be used to predict the gross income of a bollywood movie. The paper identifies several factors influencing a movie's income and applies decision tree learning to predict the gross income.
References
- Rokach, Lior; Maimon, O. (2008). Data mining with decision trees: theory and applications. World Scientific Pub Co Inc. ISBN 978-9812771711
- http://www. cs. princeton. edu/courses/archive/spr07/cos424/papers/mitchell-dectrees. pdf
- http://staffwww. itn. liu. se/~aidvi/courses/06/dm/lectures/lec3. pdf
- http://timesofindia. indiatimes. com/entertainment/hindi/movie-reviews
- http://www. hindustantimes. com/entertainment/entertainmentsectionpage-reviews/seclid. aspx
- http://www. bollywoodhungama. com/movies/reviews
- http://indiatoday. intoday. in/section/67/1/movies. html
- http://www. bollywoodlife. com/news-gossip/how-is-the-bollywood-helping-the-indian-economy
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