Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7486| Title: | Predicting Movie Ratings at IMDb |
| Authors: | Lal, Gaurvi Prasher, Anirudh Kumar, Pardeep [Guided by] |
| Keywords: | Movie ratings Artificial intelligence |
| Issue Date: | 2016 |
| Publisher: | Jaypee University of Information Technology, Solan, H.P. |
| Abstract: | In this project, we are interested in predicting the movie ratings at IMDb. We apply the predictive data mining techniques of classification and to the database. Among the various attributes of movies like year of release, length (running time), number of votes, and genres, we determine which attributes of a movie affect its rating the most. The prototype model is based on the decision tree (J48) based classification using WEKA 3.7 and Java (Netbeans IDE 8.1) |
| URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7486 |
| Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Predicting Movie Ratings at IMDb.pdf | 1.54 MB | Adobe PDF | View/Open |
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