Discovering Relationships in Relational Databases through Data Mining

Author

David J. Harrier
Daniel C. St. Clair, Missouri University of Science and Technology

Abstract

Mining data in a relational database environment differs from mining data in less structured environments, since the design of the relational database itself implies that certain key dependencies exist. This paper presents a methodology for applying symbolic machine learning data mining tools to extract previously unknown relationships from within a relational database environment.

Recommended Citation

D. J. Harrier and D. C. St. Clair, "Discovering Relationships in Relational Databases through Data Mining," Intelligent Engineering Systems Through Artificial Neural Networks, vol. 6, pp. 1039 - 1044, Dec 1996.

Department(s)

Mathematics and Statistics

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 The Authors, All rights reserved.

Publication Date

01 Dec 1996