Web Mining (FSS2022)

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 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 (including Recommender Systems)
  • Web Structure Mining (including Social Network Analysis)
  • Web Content Mining (including Sentiment Analysis)

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: 15.2.2022
  • Tuesday, 10:15 to 11:45, due to the current Corona situation, all lectures will be held online via ZOOM (ZOOM-Lehre-109).
  • Thursday, 13:45 to 15:15, due to the current Corona situation, all lectures will be held online via ZOOM (ZOOM-Lehre-108).

Lecture Slides and Lab Material

The lecture slides and the material for the lab sessions is provided in this ILIAS group.

Final mark

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

Outline

WeekLecture (Tuesday 10:15-11:45)Exercise (Thursday 13:45-15:15)
15.02.2022Introduction and Course Outline -
22.02.2022Web Usage MiningWeb Usage Mining
01.03.2022Web Usage MiningWeb Usage Mining
08.03.2022Web Structure MiningWeb Structure Mining
15.03.2022Web Structure MiningWeb Structure Mining
22.03.2022Web Content MiningWeb Content Mining
29.03.2022Web Content MiningWeb Content Mining
05.04.2022Introduction to the Student ProjectsPreparation of project outlines
 - Easter break - 
26.04.2022 Feedback on the projects outlineProject work
03.05.2022Project workCoaching
10.05.2022Project workCoaching
17.05.2022Project workCoaching
24.05.2022Project workCoaching
31.05.2022Project presentationsProject presentations
 Final exam -

Lecture Videos