Implementation Issues and Paradigms of Visual KDD Systems

  • Authors:
  • Jianchao Han;Nick Cercone

  • Affiliations:
  • -;-

  • Venue:
  • WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

We proposed an interactive visualization model for knowledge discovery and data mining, with which four visual KDD systems for different targets have been implemented. The implementation issues are considered and three implementation paradigms, including image-based approach, algorithm-embedded approach, and interaction-driven approach, are presented and discussed. The issues and paradigms presented in this paper can also be used in the design of Web mining and Web agenda.