DBLearn: A system prototype for knowledge discovery in relational databases

Jiawei Han, Yongjian Fu, Yue Huang, Yandong Cai, Nick Cercone

Research output: Contribution to journalArticlepeer-review

Abstract

A prototyped data mining system, DBLearn, has been developed, which efficiently and effectively extracts different kinds of knowledge rules from relational databases. It has the following features: high level learning interfaces, tightly integrated with commercial relational database systems, automatic refinement of concept hierarchies, efficient discovery algorithms and good performance. Substantial extensions of its knowledge discovery power towards knowledge mining in object-oriented, deductive and spatial databases are under research and development.

Original languageEnglish (US)
Pages (from-to)516
Number of pages1
JournalACM SIGMOD Record
Volume23
Issue number2
DOIs
StatePublished - May 24 1994
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Information Systems

Fingerprint

Dive into the research topics of 'DBLearn: A system prototype for knowledge discovery in relational databases'. Together they form a unique fingerprint.

Cite this