Geospatial Data Mining

Code

200060

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

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; 0; 0; 0; 0

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

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