A System Architecture for Database Mining Applications

The novelty of this approach is to study how the concept-based retrieval, relevance feedback, and information dissemination techniques used in intelligent information retrieval systems relate to each other and to apply the result of this study to the database mining problem.

Abstract

The problem of enhancing a database management system (DBMS) to support mining applications is twofold. First DBMSs of today have limited functionality for supporting mining applications. Second scaling traditional knowledge discovery techniques for large data sets is not straightforward. We propose a mining kernel that could be incorporated into future DBMSs. The mining kernel provides a common knowledge base encapsulated by a complete set of knowledge management operators such that interactive modules for database mining applications can be built on top of it. The novelty of our approach is to study how the concept-based retrieval, relevance feedback, and information dissemination techniques used in intelligent information retrieval systems relate to each other and to apply the result of this study to the database mining problem.