KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
A database perspective on knowledge discovery
Communications of the ACM
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Editorial: Inductive Logic Programming is Coming of Age
Machine Learning
Discovering Multi-head Attributional Rules in Large Databases
Proceedings of the International Symposium on "Intelligent Information Systems X"
A perspective on inductive databases
ACM SIGKDD Explorations Newsletter
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries (Lecture Notes in Computer Science)
Remarks on the industrial application of inductive database technologies
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Experiment databases: a novel methodology for experimental research
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
An organizational file permission management system using the cellular data system
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
An example of a tracking function using the cellular data system
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A data modeling example of file permission management using the cellular data system
CEA'10 Proceedings of the 4th WSEAS international conference on Computer engineering and applications
Examples of WWW business application system development using a numerical value identifier
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
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A brief review of the current research on the development of the VINLEN multitask inductive database and decision support system is presented. The aim of this research is to integrate a wide range of knowledge generation operators in one system that given input data and relevant domain knowledge generates new knowledge according to the user's goal. The central VINLEN operator is natural induction that generates hypotheses from data in the form of attributional rules that resemble natural language expressions, and are easy to understand and interpret. This operator is illustrated by an application to discovering relationships between lifestyles and diseases of men age 50-65 in a large database created by the American Medical Association. The conclusion outlines plans for future research.