Promoting entertainment artists using data mining and lifecycle forecasting techniques

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 t...

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Bibliographic Details
Main Authors: Trappey, A J C, Trappey, C V, Ai-Che Chang, Chao, M.-H, Hsieh, H.-C, Lee, F.-L
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Artificial Neural Network
Artificial neural networks
Data Mining
Engineering profession
Humans
Motion pictures
Periodic structures
Technology Forecast
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICIEEM.2010.5645900