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A Computer Science View Obtained by Automatic Document Processing

dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorBergmark, D.en_US
dc.date.accessioned2007-04-23T17:46:03Z
dc.date.available2007-04-23T17:46:03Z
dc.date.issued1977-04en_US
dc.description.abstractAutomatic 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.en_US
dc.format.extent1222914 bytes
dc.format.extent1011595 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR77-309en_US
dc.identifier.urihttps://hdl.handle.net/1813/6945
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleA Computer Science View Obtained by Automatic Document Processingen_US
dc.typetechnical reporten_US

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