Title

Mining Relationship Graphs for Effective Business Objectives

Publication Type

Conference Proceeding Article

Publication Date

5-2002

Abstract

Modern organization has two types of customer profiles: active and passive. Active customers contribute to the business goals of an organization, while passive customers are potential candidates that can be converted to active ones. Existing KDD techniques focused mainly on past data generated by active customers. The insights discovered apply well to active ones but may scale poorly with passive customers. This is because there is no attempt to generate know-how to convert passive customers into active ones. We propose an algorithm to discover relationship graphs using both types of profile. Using relationship graphs, an organization can be more effective in realizing its goals.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

6th International Conference on Knowledge Discovery and Data Mining (PAKDD-02)

Identifier

10.1007/3-540-47887-6_56

Publisher

Springer Verlag

City or Country

Taipei, Taiwan

Additional URL

http://portal.acm.org/citation.cfm?id=693661

This document is currently not available here.

Share

COinS