Geospatial Data Mining

Code

200060

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Weekly hours

2.0

Teaching language

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

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

Prerequisites

None

Subject matter

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

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%)

Courses

• Information Analysis and Management
• Risk Analysis and Management
• Marketing Intelligence
• PostGraduate Information Systems and Technologies Management
• Knowledge Management and Business Intelligence
• PostGraduate in Information Management and Business Intelligence in Healthcare
• PostGraduate in Marketing Intelligence
• Marketing and Research and CRM
• PostGraduate in Enterprise Information Systems
• PostGraduate in Information Analysis and Management
• Information Systems and Technologies Management
• PostGraduate Risk Analysis and Management
• PostGraduate in Knowledge Management and Business Intelligence
• PostGraduate Marketing Research e CRM
• PostGraduate Digital Marketing and Analytics
• Master degree program in Geospatial Technologies