Error Detection in Mechanized Classification Systems

Fuente: ERIC Institute of Education Sciences
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Bibliographic Details
Main Author: Hoyle, W. G.
Format: Recurso educativo Open Access
Language:en
Published: 1976
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author Hoyle, W. G.
author_facet Hoyle, W. G.
Hoyle, W. G.
collection Education Resources Information Center
contents Error Detection in Mechanized Classification Systems Hoyle, W. G. Automatic Indexing Classification Indexing Library Automation When documentary material is indexed by a mechanized classification system, and the results judged by trained professionals, the number of documents in disagreement, after suitable adjustment, defines the error rate of the system. In a test case disagreement was 22 percent and, of this 22 percent, the computer correctly identified two-thirds of the decisions as doubtful. (Author)
format Recurso educativo Open Access
id eric_EJ148597
institution ERIC Institute of Education Sciences
language en
publishDate 1976
record_format eric
spellingShingle Error Detection in Mechanized Classification Systems
Hoyle, W. G.
Automatic Indexing
Classification
Indexing
Library Automation
Error Detection in Mechanized Classification Systems Hoyle, W. G. Automatic Indexing Classification Indexing Library Automation When documentary material is indexed by a mechanized classification system, and the results judged by trained professionals, the number of documents in disagreement, after suitable adjustment, defines the error rate of the system. In a test case disagreement was 22 percent and, of this 22 percent, the computer correctly identified two-thirds of the decisions as doubtful. (Author)
title Error Detection in Mechanized Classification Systems
topic Automatic Indexing
Classification
Indexing
Library Automation
url https://eric.ed.gov/?id=EJ148597