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Four-figure cutter tables
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Four-figure cutter tables

著者: Edward T O'Neill; Brian F Lavoie; Jeffrey A Young; Patrick D McClain; OCLC Research.
出版商: [Dublin, Ohio] : [OCLC Research], [1997]
版本/格式:   文章 : 文献   计算机文档 : 英语
刊登在:Annual review of OCLC research (Online) 1996
数据库:WorldCat
提要:
The resolution power of the cutter tables has diminished due to growth in library collections and the increasing incidence of corporate name and title main entries. Heavily used cutter numbers routinely require adjustment to prevent shelflist conflicts and to establish unique call numbers. OCLC's expanded cutter tables balance the distribution of main entries over the cutter table entries and eliminate some of the  再读一些...
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材料类型: 文献, 互联网资源
文件类型: 文章, 计算机文档, 互联网资源
所有的著者/提供者: Edward T O'Neill; Brian F Lavoie; Jeffrey A Young; Patrick D McClain; OCLC Research.
OCLC号码: 54104849
注意: Title from title screen (viewed Jan. 29, 2004).
Author affiliations: Edward T. O'Neill (Consulting Research Scientist, OCLC Research), Brian F. Lavoie (Research Associate, OCLC Research), Jeffrey A. Young (Consulting Systems Analyst, OCLC Research), and Patrick D. McClain (Systems Analyst, OCLC Research).
描述: 1 online resource : illustrations, tables
详述: Mode of access: Internet.
其他题名: OCLC special report
Cutter
责任: Edward T. O'Neill, Brian F. Lavoie, Jeffrey A. Young, and Patrick D. McClain.

摘要:

The resolution power of the cutter tables has diminished due to growth in library collections and the increasing incidence of corporate name and title main entries. Heavily used cutter numbers routinely require adjustment to prevent shelflist conflicts and to establish unique call numbers. OCLC's expanded cutter tables balance the distribution of main entries over the cutter table entries and eliminate some of the manual processing required to complete call numbers in Dewey classes with extensive holdings. The expanded cutter tables are compatible with existing two-figure or three-figure schemes, but also include new features that enhance their versatility and facilitate algorithmic cuttering.

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<http://www.worldcat.org/oclc/NaN>
schema:name"Annual review of OCLC research (Online)"

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