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035 _a.b12346020
099 9 _aAIT RSPR no.IM-17-04
100 1 _aManideep, Alimi
245 1 0 _aPrediction of IMDb movie rating using data-mining techniques
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2017
300 _a45 leaves :
_bill.
490 1 _aResearch studies project report ;
_vno. IM-17-04
500 _aA research submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology
502 _aResearch studies project report (M. Sc.) - Asian Institute of Technology, 2017
520 _aAs we know that many thousands of movies were releasing in the every year, to make a movie more budget is required and it costs a bomb about million dollars for completing a movie. To make the movie success is important to industry as they spend a lot of money in making of the {uFB01}lm. So in order to reduce this problem the movie rating prediction can help us many people to select which type of the movie will become success and what the factors included in the movie. The aim is to predict the Imdb movie ratings with the pre-release attributes which includes castandcrew. Beyond many techniques only few are considered and implemented in this research study. With the available attributes the rating can be predicted by available techniques, the techniques which we are used are k-nearest neighbor, linear regression and arti{uFB01}cia lneural net. So after {uFB01}nding the accuracy of each and every model, the model with the highest accuracy can be taken for {uFB01}nal prediction.
650 0 _aData mining
_xComputer programs
650 0 _aMotion pictures
_xDatabases
700 1 _aSumanta, Guha,
_eChairperson
700 1 _aPhan, Minh Dung,
_eExamination Committee
700 0 _aChutiporn Anutariya,
_eExamination committee
710 2 _aRoyal Thai Government Fellowship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. IM-17-04
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B06939
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