SystemX and DBLEARN: Easily Getting More from Your Relational Database

Nick Cercone, Jiawei Han, Paul McFetridge, Fred Popowich, Yandong Cai, Dan Fass, Chris Groeneboer, Gary Hall, Yue Huang

Research output: Contribution to journalArticlepeer-review


Two systems developed in the Centre for Systems Science at Simon Fraser University over the past several years are described briefly. These systems permit easy ad hoc access to information in databases, often stored implicitly, for decision-makers. We argue for their relevance and utility and explain their architectural characteristics, providing pointers to appropriate references for specific theoretical and operational details. Examples are given to illustrate the power and usefulness of these systems and these examples are drawn from actual databases in use with Rogers Cablesystems Ltd. and the Natural Sciences and Engineering Research Council of Canada (NSERC).

Original languageEnglish (US)
Pages (from-to)311-339
Number of pages29
JournalIntegrated Computer-Aided Engineering
Issue number4
StatePublished - Jan 1 1994
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'SystemX and DBLEARN: Easily Getting More from Your Relational Database'. Together they form a unique fingerprint.

Cite this