J. Roddick and Brian G. Lees. Paradigms for spatial and spatio-temporal data mining. In Geographic Data Mining and Knowledge Discovery. H. Miller and J. Han (Eds), Taylor & Francis, 2001. Home/Search Document Details and Download
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Exploiting Spatial Autocorrelation to Efficiently.. - Zhang, Huang.. (2003) (1 citation) (Correct)
....policy of the government and no ocial endorsement should be inferred. Access to computing facilities was provided by the AHPCRC and the Minnesota Supercomputing Institute. The contact author. E mail: pusheng cs.umn.edu. Tel: 612) 626 7515 1 Introduction Analysis of spatio temporal datasets [12, 21, 22, 24, 25, 26, 29] collected by satellites, sensor nets, retailers, mobile device servers, and medical instruments on a daily basis is important for many application domains such as epidemiology, ecology, climatology, and census statistics. The development of ecient tools [3, 7, 13, 16, 18, 14] to explore these ....
J. Roddick and Brian G. Lees. Paradigms for spatial and spatio-temporal data mining. In Geographic Data Mining and Knowledge Discovery. H. Miller and J. Han (Eds), Taylor & Francis, 2001.
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