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
Programs
Programs where the course is taught:
- Master degree program in Geospatial Technologies
- Master of Geographic Information Systems and Science
- PostGraduate in Smart Cities
- PostGraduate in Geographic Information Systems and Science
- PostGraduate in Information Management and Business Intelligence in Healthcare
- PostGraduate in Enterprise Information Systems