Discriminating Patterns for Empirical Discovery in Geospatial Data
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Transcript of Discriminating Patterns for Empirical Discovery in Geospatial Data
Discriminating Patterns for Empirical Discovery in Geospatial Data
Presenter: Wei Ding [email protected] Science DepartmentUniversity of Massachusetts Boston
The NSF Workshop on GeoSpatial and GeoTemporal informatics ∙ January 8-9, 2009
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Geospatial Discriminating Patterns
Spatial Association Rules Spatial Co-Location Patterns Regional Association Patterns
Solved or Almost Solved Spatial Association Rules [Koperski & Han 1995]
Spatial Co-Location Patterns [Huang & Shekhar]
Regional Association Patterns [Ding & Eick]
[huang2004]
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Failed & Missing Modeling causal relationship among
geo-variables Complex chain of mutual interactions Nonlinearity and spatial variability
Efficient pattern summarization Laziness: large amount of patterns “super-patterns”
Robust & practical knowledge discovery tools to build empirical models for domain experts
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What is next?Provide the scientific community with an efficient tool for auto-analyzing the root causes behind observed patterns in geospatial data.