Data Mining for Selective Visualization of Large Spatial Datasets

@inproceedings{Shekhar2002DataMF,
  title={Data Mining for Selective Visualization of Large Spatial Datasets},
  author={Shashi Shekhar and Chang-Tien Lu and Pusheng Zhang and Rulin Liu},
  booktitle={ICTAI},
  year={2002}
}
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets to look for patterns. However, the growing volume of spatial datasets make it difficult for humans to browse such datasets in their entirety, and data mining algorithms are needed to filter out large uninteresting parts of spatial datasets… CONTINUE READING
Highly Cited
This paper has 31 citations. REVIEW CITATIONS
19 Citations
27 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Providing OLAP(Online Analytical Processing) to User-Analysts: An IT Mandate

  • E. Codd, S. Codd, C. Salley
  • In Arbor Software Corporation. Avaliable at http…
  • 1993
Highly Influential
6 Excerpts

Co-location Rules Mining: A Summary of Results

  • S. Shekhar, Y. Huang
  • In Proc. Spatio-temporal Symposium on Databases,
  • 2001
1 Excerpt

The sequoia 2000 project National Satellite Land Remote Sensing Data Archive

  • M. Ward.
  • 2001

behinds the scenes

  • P. Ferguson
  • Census
  • 2000
1 Excerpt

Similar Papers

Loading similar papers…