Analysis of Complex Data A1F
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Course syllabus, with reading list
When? Where? How?
The course focus on methods for analysis of data where the data is more complex than attribute-value data, often use within traditional data mining and machine learning. The course covers methods within areas such as text mining and graph analysis, and how these can be applied to different types of problem, e.g., sentiment- and network analysis. Methods within the area of data privacy can also be a part of the course. The course consist of lectures, seminars, a computer assignment, and a project where one has the opportunity to learn more about some specific problem related to analysis of complex data.