ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

On the Generation of Aggregated Random Spatial Regions.

Yannis Manolopoulos, Enrico Nardelli, Guido Proietti, Michael Vassilakopoulos: On the Generation of Aggregated Random Spatial Regions. CIKM 1995: 318-325
@inproceedings{DBLP:conf/cikm/ManolopoulosNPV95,
  author    = {Yannis Manolopoulos and
               Enrico Nardelli and
               Guido Proietti and
               Michael Vassilakopoulos},
  title     = {On the Generation of Aggregated Random Spatial Regions},
  booktitle = {CIKM '95, Proceedings of the 1995 International Conference on
               Information and Knowledge Management, November 28 - December
               2, 1995, Baltimore, Maryland, USA},
  publisher = {ACM},
  year      = {1995},
  pages     = {318-325},
  ee        = {db/conf/cikm/ManolopoulosNPV95.html, http://doi.acm.org/10.1145/221270.221602},
  crossref  = {DBLP:conf/cikm/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Traditional random models for spatial two-dimensional data proposed in literature show their limits in generating in a satisfactory way instances of regions having a desired aggregation level. This is because none of them is really oriented to this aim. Rather, they are thought to model the behaviour of the constituting elements of the spatial data (so loosing sight of the context), or, alternatively, to model particular data structure for their representation, underestimating the fact that there is in general no semantic link between a region data and its representation. This means from one hand, the impossibility to produce meaningful the oretical results on time and space average performances of different data structures used to represent spatial regions, and, on the other hand, in an applicative context, the difficulty to generate instances of spatial regions having a statistical behaviour close to that of real data. To overcome this trouble, we introduce in our paper a new random model that provides the possibility to generate spatial regions having a desired aggregation.

Copyright © 1995 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 2 Issue 4, CIKM, DOLAP, GIS, SIGFIDET, ..." and ... DVD Version: Load ACM SIGMOD Anthology DVD 1" and ... BibTeX

Printed Edition

CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28 - December 2, 1995, Baltimore, Maryland, USA. ACM 1995
Contents BibTeX

Online Edition

Citation Page BibTeX

References

[1]
...
[2]
...
[3]
...
[4]
...
[5]
...
[6]
Hanan Samet: The Design and Analysis of Spatial Data Structures. Addison-Wesley 1990
BibTeX
[7]
...
[8]
...

Referenced by

  1. Theodoros Tzouramanis, Michael Vassilakopoulos, Yannis Manolopoulos: Processing of Spatio-Temporal Queries in Image Databases. ADBIS 1999: 85-97
BibTeX
ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]
CIKM 1995 Proceedings, ACM SIGMOD Anthology: Copyright © by ACM (info@acm.org), Corrections: anthology@acm.org
DBLP: Copyright © by Michael Ley (ley@uni-trier.de), last change: Sat May 16 23:01:50 2009