This paper is published in Volume-3, Issue-3, 2017
Area
Data Mining
Author
Abhisht Joshi, Sanjai Pramod, Geetha Mary .A
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Pub. Date
18 May, 2017
Paper ID
V3I3-1228
Publisher
Keywords
Prediction, Data Mining, Classification, Fuzzy, IMDB, Success, Normalization, Movie Dataset, Confusion Matrix.

Citationsacebook

IEEE
Abhisht Joshi, Sanjai Pramod, Geetha Mary .A. Prediction of Movie Success for Real World Movie Data Sets, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Abhisht Joshi, Sanjai Pramod, Geetha Mary .A (2017). Prediction of Movie Success for Real World Movie Data Sets. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Abhisht Joshi, Sanjai Pramod, Geetha Mary .A. "Prediction of Movie Success for Real World Movie Data Sets." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

Predicting the success of a movie before its release has far been a huge point of concern for directors and producers alike, especially after they factor in real world data and the occurrence of unforeseen circumstances. Since these entities invest massively in movies, they need some kind of reassurance that the movie will be successful and reap in massive profit in terms of financial returns and credibility. In this paper, we talk about a prediction engine we have implemented that uses classification and fuzzy logic to categorize a movie as successful or not as well as used our own algorithm to calculate a target variable which is the IMDB score of a movie based on various parameters. Our engine has proved to be successful from the technical unit testing performed on it with the use of multiple iterations of input values.