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Web Mining

Course Description

The vast amounts of textual content and structured data found on the Web provide us with a goldmine of data that can be mined to derive knowledge about nearly any aspect of human life. The course covers advanced data mining techniques for extracting knowledge from Web content as a basis for business decisions and applications. The course will cover, among others, the following topics:

  • Web Usage Mining
  • Web Structure Mining
  • Web Content Mining

The course consists of a lecture as well as accompanying practical projects. The lecture (IE671) covers the theory and methods of web mining and is concluded by a written exam (3 ECTS). In the projects (IE684), students will gain experience with web mining methods by applying them within a real-world use case of their choice. Students will work on their projects in teams and will report the results of their projects in the form of a written report as well as an oral presentation (together 3 ECTS). While the lecture and the project can be attended in seperate years, it is highly recommended to attend both in the same semester as the schedule of the lecture and project are aligned to each other.

Time and Location

  • Start: 11.2.2020
  • Tuesday, 10:15 to 11:45, Room: B 6, A104
  • Tuesday, 15:30 to 17:00, Room: B 6, A104

Update due to the suspension of teaching

Due to the suspension of all on-site teaching activities until April 19, we are now moving the Web Mining lecture online. You can find all up-to-date information in our ILIAS group.

Final mark

  • 100% written exam (IE671)
  • 100% project work (IE684)

Lecture Videos

  • Slides and Excercises

  • Participation

    • The course is open to students of the Master Business Informatics and Mannheim Master in Data Science (MMDS). 
    • The project (IE684) is restricted to 30 participants.
    • The registration for the project takes place via ILIAS at the beginning of the semester.
  • Requirements

    • Good programming skills in Python are required for the exercise and the project.