Inductive query by examples (IQBE): A machine learning approach

H. Chen, L. She

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

10 Scopus citations

Abstract

This paper presents an incremental, inductive learning approach to query-by-examples for information retrieval (IR) and database management systems (DBMS). After briefly reviewing conventional information retrieval techniques and the prevailing database query paradigms, we introduce the ID5R algorithm, previously developed by Utgoff, for `intelligent' and system-supported query processing.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
PublisherPubl by IEEE
Pages428-437
Number of pages10
ISBN (Print)0818650702, 9780818650703
DOIs
StatePublished - 1994
EventProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
Duration: Jan 4 1994Jan 7 1994

Publication series

NameProceedings of the Hawaii International Conference on System Sciences
Volume3
ISSN (Print)1060-3425

Other

OtherProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period1/4/941/7/94

ASJC Scopus subject areas

  • General Computer Science

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