Proceedings of the Korea Inteligent Information System Society Conference (한국지능정보시스템학회:학술대회논문집)
- 1999.03a
- /
- Pages.125-133
- /
- 1999
Data Mining in Marketing: Framework and Application to Supply Chain Management
- Kim, Steven H. (Korea Advanced Institute of Science and Technology Seoul) ;
- Min, Sung-Hwan (Korea Advanced Institute of Science and Technology Seoul)
- Published : 1999.03.01
Abstract
The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.
Keywords
- Knowledge discovery;
- data mining;
- multistrategy learning;
- marketing;
- supply chain management;
- agents