Title :
Application of Association Analysis in Digital Content Industry
Author :
Ziyun Zhuang ; Bo Zhang
Author_Institution :
Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
Abstract :
To fully tap the potential of digital content industry, we should upgrade digital content industrial chain to a value profit chain which could generate continuous revenue with the support of information technology. in this paper, we develop an application model based on an advanced data processing technique: association analysis in the field of digital content industry. This model is user-centric, that is, to extract valuable information from massive data storage accumulated over the years in digital content industry from two aspects: products and services, thus to turn passive services to active ones, which could ultimately dig out the endless economic potential of digital content industry.
Keywords :
content management; data analysis; advanced data processing technique; association analysis; data storage; digital content industry; economic potential; information technology; user-centric model; Association rules; Business; Data processing; Educational institutions; Industries; Publishing; association analysis; data processing; digital content industry;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.13