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:
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.
The exam review for FSS2023 will take place on Wednesday, 13 September 2023, starting from 9:30.
You have to register for the exam review by writing a mail to Alexander Brinkmann until Tuesday, 6 September 2023.
|Week||Lecture (Tuesday 10:15–11:45)||Exercise (Thursday 13:45–15:15)|
|14.02.2023||Introduction and Course Outline||-|
|21.02.2023||Web Usage Mining (Bizer)||Web Usage Mining|
|28.02.2023||Web Usage Mining (Bizer)||Web Usage Mining|
|07.03.2023||Web Structure Mining (Bizer)||Web Structure Mining|
|14.03.2023||Web Structure Mining (Bizer)||Web Structure Mining|
|21.03.2023||Web Content Mining (Ponzetto)||Web Content Mining|
|28.03.2023||Web Content Mining (Ponzetto)||Web Content Mining|
|- Easter break -|
|18.04.2023||Introduction to the Student Projects||Preparation of project outlines|
|25.04.2023||Feedback on the projects outline||Project work|