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Geospatial Data Mining

Objectives

Understand the impact that the Data Mining (DM) may have on the exploitation of spatial databases
Understanding the DM methodology
To understand the functioning of the most important tools of DM
Apply these tools to the problems of geographic information science

General characterization

Code

200060

Credits

7.5

Responsible teacher

Roberto André Pereira Henriques

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

None

Bibliography

Papers will be supplied for each module of the course;

Teaching method

The unit (UC) is based on problem oriented approach with the active acquisition of knowledge by students.
The UC consists of asynchronous reading of various materials and on the realization of projects and a synchronous part that consists of classroom sessions and tutorials.

Evaluation method

A final exam (30%) Four individual projects: two theoretical (10% each) and 2 practical (25% and 20%)

Subject matter

1. Introduction to Geospatial Data Mining
2. The role of data mining in the GIsc
3. Unsupervised Classification
4. Supervised Classification