DocumentCode
3239402
Title
Promoting entertainment artists using data mining and lifecycle forecasting techniques
Author
Trappey, A.J.C. ; Trappey, C.V. ; Chang, Ai-Che ; Chao, M.-H. ; Hsieh, H.-C. ; Lee, F.-L.
Author_Institution
Dept. of Ind. Eng. & Manage., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1918
Lastpage
1921
Abstract
With the thriving development of mass media, entertainment industry has enormous growth. The goal of entertainment agency is to establish an efficient career management system for individual artists. The research aims at developing an approach to evaluate the potential of entertainment artists and to construct their suitable career pathes. In this research, data mining techniques are applied to correlate degrees and types of media exposures and successes of artists. The technology forecasting methods are applied to foresee the future career paths for new artists. Thus, entertainment agencies can assess values of artists, plan appropriate marketing strategy, and cultivate talented artists by utilizing quantitative and systematic methodology.
Keywords
data mining; entertainment; professional aspects; artist success; career management system; career path; data mining; entertainment agency; entertainment artist promotion; entertainment industry; lifecycle forecasting; marketing strategy; mass media; media exposure; technology forecasting; Analytical models; Artificial neural networks; Engineering profession; Films; Humans; Motion pictures; Periodic structures; Artificial Neural Network; Data Mining; Technology Forecast;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6483-8
Type
conf
DOI
10.1109/ICIEEM.2010.5645900
Filename
5645900
Link To Document