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Structure in Document Browsing Spaces

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PDF dubinthesis.pdf (566KB) David Dubin's 1996 Doctoral Thesis PDF
Title: Structure in Document Browsing Spaces
Author(s): Dubin, David
Subject(s): Visualization Clustering Information retrieval
Abstract: This study proposes and evaluates a document analysis strategy for information retrieval with visualization interfaces. The goal of document analysis is to highlight structure that helps searchers make their own relevance judgments, rather than to shift judgments from humans onto machines. Searchers can investigate that structure with tools for visualizing multidimensional data. The structure of interest in this study is discrimination of documents into clusters. Two diagnostic measures may inform selection of document attributes for cluster discrimination: term discrimination value and the sum of pairwise term-vector correlations. A series of experiments tests the reliability of these measures for predicting clustering tendency, as measured by proportion of elongated triples and skewness of the distribution of document dissimilarities.
Issue Date: 1996-08-12
Publisher: UMI Company
Citation Info: UMI Microform 9709416
Genre: Other
Type: Text
Language: English
ISBN: 978-0-591-16793-1
Publication Status: published or submitted for publication
Peer Reviewed: not peer reviewed
Sponsor: National Science Foundation IRI-9529072
Rights Information: Copyright owned by David Dubin, UMI Company
Date Available in IDEALS: 2007-02-08

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