A Dynamic Cluster Maintenance System for Information Retrieval.

Fazli Can, Esen A. Ozkarahan: A Dynamic Cluster Maintenance System for Information Retrieval. SIGIR 1987: 123-131

@inproceedings{DBLP:conf/sigir/CanO87,
  author    = {Fazli Can and
               Esen A. Ozkarahan},
  title     = {A Dynamic Cluster Maintenance System for Information Retrieval},
  booktitle = {Proceedings of the Tenth Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, New Orleans,
               Louisiana, USA, June 3-5, 1987},
  publisher = {ACM},
  year      = {1987},
  pages     = {123-131},
  ee        = {db/conf/sigir/CanO87.html},
  crossref  = {DBLP:conf/sigir/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Partitioning by clustering of very large databases is a necessity to reduce the space/time complexity of retrieval operations. However, the contemporary and modern retrieval environments demand dynamic maintenance of clusters. A new cluster maintenance strategy is proposed and its similarity/stability characteristics, cost analysis, and retrieval behavior in comparison with unclustered and completely reclustered database environments have been examined by means of a series of experiments.

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Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987. ACM 1987
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