DT8116

Mining of Massive Datasets

Autumn

Trondheim

English

Overview

5 candidates

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

The course will discuss data mining algorithms for analyzing very large amounts of data. Vital challenges to be covered include similarity search, mining streaming data, and social network analysis.

Learning outcomes

Knowledge: Introduction to problems, principles, mechanisms, and techniques connected to mining large datasets. Skills: Similarity search, mining streaming data, social network analysis, synopses for massive data. Competence: Mining massive datasets.

Teaching methods

Joint colloquium and self-study. Individual research project related to the topics studied in the course. If the course is taken by a high number of students, the oral examination may be replaced by a written examination.