Photo credit: Anna Logue

Web Mining

Course Description

NOTE: This lecture will NOT be offered in FSS 2019, since the module leader (Simone Ponzetto) is on sabbatical.

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 together with accompanying practical exercises as well as student team projects. In the exercises the participants will gather initial expertise in applying state of the art web mining tools/libraries on realistic data sets. The team projects take place in the last third of the term. As part of the projects, students develop solutions for a variety of web mining problems and report on the results of their projects in the form of a written report as well as an oral presentation.

Time and Location

  • Start: 13.2.2018
  • Tuesday, 10:15 to 11:45, Room: B 6, A104
  • Tuesday, 15:30 to 17:00, Room: B 6, A104

Final mark

  • 50 % written exam
  • 50 % project work

Lecture Videos