1 / 4

Discriminating Patterns for Empirical Discovery in Geospatial Data

Presenter: Wei Ding Wei.Ding@umb.edu Computer Science Department University of Massachusetts Boston. Discriminating Patterns for Empirical Discovery in Geospatial Data. The NSF Workshop on GeoSpatial and GeoTemporal informatics ∙ January 8-9, 2009. Solved or Almost Solved.

felton
Download Presentation

Discriminating Patterns for Empirical Discovery in Geospatial Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Presenter: Wei Ding Wei.Ding@umb.edu Computer Science Department University of Massachusetts Boston Discriminating Patterns for Empirical Discovery in Geospatial Data The NSF Workshop on GeoSpatial and GeoTemporal informatics ∙ January 8-9, 2009

  2. Solved or Almost Solved • Spatial Association Rules [Koperski & Han 1995] • Spatial Co-Location Patterns [Huang & Shekhar] • Regional Association Patterns [Ding & Eick] • Geospatial Discriminating Patterns • Spatial Association Rules • Spatial Co-Location Patterns • Regional Association Patterns [huang2004] Wei Ding . UMass Boston . Discriminating Patterns

  3. 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 Wei Ding . UMass Boston . Discriminating Patterns

  4. What is next? Provide the scientific community with an efficient tool for auto-analyzing the root causes behind observed patterns in geospatial data. Wei Ding . UMass Boston . Discriminating Patterns

More Related