Document Analysis for Visualization.

David Dubin: Document Analysis for Visualization. SIGIR 1995: 199-204

@inproceedings{DBLP:conf/sigir/Dubin95,
  author    = {David Dubin},
  editor    = {Edward A. Fox and
               Peter Ingwersen and
               Raya Fidel},
  title     = {Document Analysis for Visualization},
  booktitle = {SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR
               Conference on Research and Development in Information Retrieval.
                Seattle, Washington, USA, July 9-13, 1995 (Special Issue of
               the SIGIR Forum)},
  publisher = {ACM Press},
  year      = {1995},
  isbn      = {0-89791-714-6},
  pages     = {199-204},
  ee        = {db/conf/sigir/Dubin95.html},
  crossref  = {DBLP:conf/sigir/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

An experimental term selection strategy for document visualization is described. Strong discriminators with few co-occurrences increase the clustering tendency of low-dimensional document browsing spaces. Clustering tendency is tested with diagnostic measures adapted from the field of cluster analysis, and confirmed using the VIBE visualization tool. This method supports browsing in high recall, low precision document retrieval and classification tasks.

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BibTeX

Printed Edition

Edward A. Fox, Peter Ingwersen, Raya Fidel (Eds.): SIGIR'95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum). ACM Press 1995, ISBN 0-89791-714-6
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