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Spatial Data Mining (3 credits)

This course treats a specific advanced topic of current research interest in the area of handling spatial, temporal, and spatio-temporal data. Major topics include data mining and machine learning techniques on clustering, association analysis, and classification. In addition, students will learn how to use popular data mining tools and how to implement applications in geosciences. The class will expose students to interdisciplinary research on spatial data mining and current industrial practices in handling spatio-temporal data.

Note

This course is cross-listed with CS438 (Applied Machine Learning).

Pre-requisites

Instructor Consent Required


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