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@article{145604,
        author = {S Bavaji and G Ananthnath},
        title = {Envisioning Movie Ratings By Using Data Mining Technique},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {626-628},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145604},
        abstract = {Movies are generally used for entertainment purposes. And most of the youth have more interest to know about the movies, their reviews. This paper mainly deals with Internet Movie Database (IMDb) which is a user maintained online resource which contains information about the movies like title, box-office taking, cast credits and user ratings. We have found that the IMDb is tough to perform data processing upon, due to the format of the supply knowledge. We have a tendency to conjointly found some attention-grabbing facts, like the budget of a movie isn't any indication of however well-rated it'll be, there's a downward trend within the quality of films over time, and therefore the director and actors/actresses involved in a very film square measure the foremost necessary factors to its success or lack there from  the data utilized in this paper isn't freely distributable. It's used here inside the terms of their repeating policy. More distribution of the supply knowledge utilized in this paper is also prohibited.},
        keywords = {IMDb, Internet Movie Database, data mining, movies, films.},
        month = {},
        }