A Computer Science View Obtained by Automatic Document Processing
Loading...
No Access Until
Permanent Link(s)
Collections
Other Titles
Authors
Abstract
Automatic document classification techniques have been widely advocated for the study of various fields of learning, the identification of individual research topics and of influential contributors in a given field, and for information storage and retrieval purposes. Several thousand research documents in computer science are automatically classified in the present study, leading to the generation of a taxonomy which reflects the state of computer science as of 1974. The popularity of various subject areas in the field is assessed, and the clustering characteristics of particular document classes and authors is given.
Journal / Series
Volume & Issue
Description
Sponsorship
Date Issued
1977-04
Publisher
Cornell University
Keywords
computer science; technical report
Location
Effective Date
Expiration Date
Sector
Employer
Union
Union Local
NAICS
Number of Workers
Committee Chair
Committee Co-Chair
Committee Member
Degree Discipline
Degree Name
Degree Level
Related Version
Related DOI
Related To
Related Part
Based on Related Item
Has Other Format(s)
Part of Related Item
Related To
Related Publication(s)
Link(s) to Related Publication(s)
References
Link(s) to Reference(s)
Previously Published As
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR77-309
Government Document
ISBN
ISMN
ISSN
Other Identifiers
Rights
Rights URI
Types
technical report