Descriptive Methods of Data Mining

Objectives

The curricular unit of descriptive methods of data mining has a primary goal of allowing students to gather skills in extracting information and knowledge from large databases. The success of information systems over the last decades promoted huge databases. These databases have the potential to foster development and significantly increase the wealth of our society, allowing problem resolution. We can say that these data repositories can provide precious resources for improving the quality of decision-making.

Thus, this course addresses the topics and issues typically associated with designations of "Data Mining" or "Knowledge Discovery." This field has been developing rapidly and has become central to various activities. Its contribution extends the scientific marketing research, constituting a significant body of knowledge and is still expanding.

General characterization

Code

200291

Credits

7.5

Responsible teacher

Hours

Weekly - Available soon

Total - Available soon

Teaching language

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

Prerequisites

Available soon

Bibliography

Teaching method

Evaluation method

Subject matter