Incremental Clustering for Mining in a Data Warehousing Environment.

@inproceedings{DBLP:conf/vldb/EsterKSWX98,
  author    = {Martin Ester and
               Hans-Peter Kriegel and
               J{\"o}rg Sander and
               Michael Wimmer and
               Xiaowei Xu},
  editor    = {Ashish Gupta and
               Oded Shmueli and
               Jennifer Widom},
  title     = {Incremental Clustering for Mining in a Data Warehousing Environment},
  booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
               Large Data Bases, August 24-27, 1998, New York City, New York,
               USA},
  publisher = {Morgan Kaufmann},
  year      = {1998},
  isbn      = {1-55860-566-5},
  pages     = {323-333},
  ee        = {db/conf/vldb/EsterKSWX98.html},
  crossref  = {DBLP:conf/vldb/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1998 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

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Referenced by

1. Ju-Hong Lee, Deok-Hwan Kim, Chin-Wan Chung: Multi-dimensional Selectivity Estimation Using Compressed Histogram Information. SIGMOD Conference 1999: 205-214
2. Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. SIGMOD Conference 1999: 49-60
3. Wei Wang, Jiong Yang, Richard R. Muntz: STING+: An Approach to Active Spatial Data Mining. ICDE 1999: 116-125