A Design of the Extraction System for an Internet Business Region Variation based on OLAP
Sung Hun Kim, Nam Hun Park, Kil Hong Joo, Yang Sun Lee · Advanced science and technology letters · 2014
With the popularization of an internet, the quantity of web information and the online business have been increased. In the online business, it is important to predict to variation of the Internet business region variation. User can need more efficiently target marketing than general marketing. For this purpose, this paper proposes a design of OLAP using Discovery-driven exploration of domain data cube. This design suggests to analyze the Internet business region variation based on domain, and prediction of the change of Internet business region as well. In addition, the appropriation of the result from OLAP design applied by discovery-driven exploration is presented by the comparison between the statistical analysis of domain registration and the statistical analysis of the Internet Business. The performance of the proposed algorithm is analyzed by a series of experiments to identify its various characteristic.