Knowledge discovery and constraint-based processing in automated manufacturing

Jiawei Han, Yongjian Fu

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

Abstract

This paper studies the application of integrated database and artificial intelligence technologies in automated manufacturing. Two interesting techniques: (1) knowledge discovery, i.e., discovery of interesting rules and regularities from data or processing history, and (2) constraint-based processing, i.e., the application of the knowledge and rules as constraints in the guidance or control of a manufacturing process, are examined in detail.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Control Applications
PublisherPubl by IEEE
Pages691-696
Number of pages6
ISBN (Print)0780309081
StatePublished - 1993
Externally publishedYes
EventProceedings of the IEEE Conference on Control Applications. Part 2 (of 2) - Vancouver, BC, Can
Duration: Sep 13 1993Sep 16 1993

Publication series

NameProceedings of the IEEE Conference on Control Applications
Volume2

Other

OtherProceedings of the IEEE Conference on Control Applications. Part 2 (of 2)
CityVancouver, BC, Can
Period9/13/939/16/93

ASJC Scopus subject areas

  • Control and Systems Engineering

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