DBLearn: a system prototype for knowledge discovery in relational databases

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 algorithm 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)
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
EditorsRichard T. Snodgrass, Marianne Winslett
PublisherPubl by ACM
Pages516
Number of pages1
Edition2
ISBN (Print)0897916395
StatePublished - Jun 1994
Externally publishedYes
EventProceedings of the 1994 ACM SIGMOD International Conference on Management of Data - Minneapolis, MN, USA
Duration: May 24 1994May 27 1994

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
Number2
Volume23

Other

OtherProceedings of the 1994 ACM SIGMOD International Conference on Management of Data
CityMinneapolis, MN, USA
Period5/24/945/27/94

ASJC Scopus subject areas

  • Software
  • Information Systems

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