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dc.contributor.authorBergmark, D.en_US
dc.contributor.authorSalton, Gerarden_US
dc.contributor.authorWong, A.en_US
dc.date.accessioned2007-04-23T17:54:23Z
dc.date.available2007-04-23T17:54:23Z
dc.date.issued1977-01en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR77-299en_US
dc.identifier.urihttps://hdl.handle.net/1813/7061
dc.description.abstractA classified, or clustered file is one where related, or similar records are grouped into classes, or clusters of items in such a way that all items within a cluster are jointly retrievable. Clustered files exhibit substantial advantages in many retrieval environments over the more conventional inverted list or multilist technologies. An inexpensive file clustering method applicable to large files is given together with appropriate file search methods. An abstract model is used to predict the retrieval effectiveness of various search methods in a clustered file environment, and experimental evidence is introduced to confirm the usefulness of the model. As an example, a collection of research papers in computer science is clustered automatically, and the resulting research clusters are compared with exissting, manually constructed taxonomies for the computer field.en_US
dc.format.extent2574560 bytes
dc.format.extent1276782 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleGeneration and Search of Clustered Filesen_US
dc.typetechnical reporten_US


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