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Spatial, Spatiotemporal, and Multimedia Data Mining

来源: 作者:unkonwn 时间:2004-12-04 点击:
  1. K. Koperski and J. Han. Discovery of spatial association rules in geographic information databases. In Proc. 4th Int′l Symp. on Large Spatial Databases (SSD′95), pp. 47-66, Portland, Maine, Aug. 1995.
  2. X. Zhou, D. Truffet, and J. Han. Efficient polygon amalgamation methods for spatial OLAP and spatial data mining. In SSD′99, pp. 167-187, Hong Kong, Aug. 1999.
  3. J. Han, R. B. Altman, V. Kumar, H. Mannila and D. Pregibon, “ Emerging Scientific Applications in Data Mining”,  Communications of ACM, 45(8):54-58, 2002.
  4. Shashi Shekhar and Sanjay Chawla, Spatial Databases: A Tour , Prentice Hall, 2003 (ISBN 013-017480-7). Chapter 7.: Introduction to Spatial Data Mining.
  5. S. Shekhar and Y. Huang, Discovering Spatial Co-location Patterns: A Summary of Results , Proc. in 7th International Symposium on Spatial and Temporal Databases(SSTD01), L.A., CA, July 2001.
  6. S. Shekhar, C. T. Lu, and P. Zhang, A Unified Approach to Detecting Spatial Outliers , GeoInformatica, 2003 (A shorter version appeared in SIGKDD 2001).
  7. S. Shekhar, V. R. Raju, P. Schrater, W. Wu, Spatial Contextual Classification and Prediction Models for Mining Geospatial Data, IEEE Trans. on Multimedia Systems, vol4. No.2, June 2002.
  8. Tom Barclay, Jim Gray, and Don Slutz, Microsoft TerraServer: A Spatial Data Warehouse, 2000 ACM SIGMOD Dallas, TX, pg. 307-318
  9. Yufei Tao - City University of Hong Kong, Christos Faloutsos - Carnegie Mellon University, Dimitris Papadias, Bin Liu - Hong Kong University of Science, Prediction and Indexing of Moving Objects with Unknown Motion Patterns. Proc. 2004 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD′04), Paris, France, June 2004
  10. Yuhan Cai, Raymond Ng - University of British Columbia, Vancouver, Canada, Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials. Proc. 2004 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD′04), Paris, France, June 2004
  11. Man Lung Yiu, Nikos Mamoulis, Clustering Objects on a Spatial Network, SIGMOD’04
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