A Framework of Business Intelligence-Driven Data Mining for E-business

  • Authors:

  • Yang Hang;Simon Fong

  • Affiliations:

  • -;-

  • Venue:
  • NCM '09 Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper proposes a data mining methodology called Business Intelligence-driven Data Mining (BIdDM). It combines knowledge-driven data mining and method-driven data mining, and fills the gap between business intelligence knowledge and existent various data mining methods in e-Business. BIdDM contains two processes: a construction process of a four-layer framework and a data mining process. A methodology is established in setting up the four-layer framework, which is an important part in BIdDM. A case study of B2C e-Shop is provided to illustrate the use of BIdDM.