Case-Based Reasoning for Candidate List Extraction in a Marketing Domain

Authors:
Michael Fagan;Konrad Bloor
Affiliations:
-;-
Venue:
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Year:
1999

Citing 6
Cited 1

UNIX network programming

UNIX network programming
Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Case-Based Reasoning: Experiences, Lessons and Future Directions

Case-Based Reasoning: Experiences, Lessons and Future Directions
Fish and Shrink. A Next Step Towards Efficient Case Retrieval in Large-Scale Case Bases

EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Large-Scale Fault Diagnosis for On-Board Train Systems

ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
CBR for the Reuse of Corporate SQL Knowledge

EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning

Multi-agent system approach to context-aware coordinated web services under general market mechanism

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a software tool called CALIBRE (Candidate Library Retrieval). The tool incorporates case-base reasoning to support the extraction of candidate lists for targeted marketing campaigns. The tool has been aimed at users in the marketing domain. This domain is characterised by very large databases containing many Terabytes of customer related information. Large systems such as these require careful management of the queries being submitted to optimise the use of processing and storage resources. The CBR approach encourages consistent best practice as well as cutting down on valuable negotiation time. An early prototype has been built and is currently used for experimental purposes.