The Development of the Inductive Database System VINLEN: A Review of Current Research

Current research on the VINLEN inductive database system is briefly reviewed and illustrated by selected results. The goal of research on VINLEN is to develop a methodology for deeply integrating a wide range of knowledge generation operators with a relational database and a knowledge base. The current system has already integrated an AQ learning system for generating attributional rules in two modes: theory formation, in which generated rules are consistent and complete with regard to data, and pattern discovery, in which generated rules represent strong patterns, not necessarily consistent or complete. It also has integrated a conceptual clustering module for splitting data into conceptual classes, and providing descriptions of those classes. Preliminary data management and knowledge visualization operators, such as the intelligent target data generator (ITG) and concept association graph display, have also been integrated. To facilitate an easy interaction with the system, a user-o...

• Type: Conference
• Year: 2003
• Where: IIS
• Authors: Kenneth A. Kaufman, Ryszard S. Michalski
• Keywords: Conceptual Clustering Module, IIS 2003, Information Technology, Knowledge Generation Operators, VINLEN Inductive Database