
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;
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 Information Systems and Technologies Management
- PostGraduate Marketing Research e CRM
- Specialization in Knowledge Management and Business Intelligence – Working Hours Format
- PostGraduate in Knowledge Management and Business Intelligence
- Specialization in Risk Analysis and Management
- PostGraduate in Information Analysis and Management
- PostGraduate in Geographic Information Systems and Science
- Specialization in Knowledge Management and Business Intelligence
- Master degree program in Geospatial Technologies
- PostGraduate in Smart Cities
- Specialization in Information Systems and Technologies Management
- PostGraduate Risk Analysis and Management
- Análise e Gestão de Informação
- PostGraduate in Enterprise Information Systems
- Pós-Graduação em Inteligência Geospacial
- Master of Geographic Information Systems and Science
- PostGraduate in Information Management and Business Intelligence in Healthcare
- PostGraduate Digital Marketing and Analytics
- PostGraduate in Marketing Intelligence
- Specialization in Marketing Intelligence
- Specialization in Marketing Research and CRM