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

H. Chen, L. She

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

9 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
EditorsJay F. Nunamaker, Ralph H.Jr. Sprague
PublisherPubl by IEEE
Pages428-437
Number of pages10
ISBN (Print)0818650702
StatePublished - Jan 1 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

  • Computer Science(all)

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  • Cite this

    Chen, H., & She, L. (1994). Inductive query by examples (IQBE): A machine learning approach. In J. F. Nunamaker, & R. H. J. Sprague (Eds.), Proceedings of the Hawaii International Conference on System Sciences (pp. 428-437). (Proceedings of the Hawaii International Conference on System Sciences; Vol. 3). Publ by IEEE.