Machine learning and data mining techniques

Course Code
μηχ-μαθ
ECTS Credits
5
Semester
8th Semester
Course Category

Specialization courses

Specialization courses

Specialization
Specialization elective courses on Informatics
Course Description
COURSE CONTENTS

Course contents: Introduction to data mining techniques (data, problems, applications). General data analysis and management techniques. Data categorization (decision trees, statistical methods). Categorization of multidimensional data. Clustering techniques. Techniques for relation and knowledge extraction. Applications of data mining techniques to searching.

ASSESSMENT

Assessment: Written exercises and implementation of a project during the semester and written exams at the end of the semester. The final grade results by taking into account the respective marks of exercises (10-20%), project (30-40%) and final examination (50-80%). It is required to have a passing grade on the project and the final examination.