https://cw.fel.cvut.cz/b191/ 2026-05-01T23:10:50+0200 https://cw.fel.cvut.cz/b191/ https://cw.fel.cvut.cz/b191/lib/tpl/bulma-cw/images/favicon.ico text/html 2020-02-07T12:20:43+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b191/courses/xp36vpd/start?rev=1581074443&do=diff xp36vpd -- Selected parts of data mining Data mining aims at revealing non-trivial, hidden and ultimately applicable knowledge in large data. This course focuses on two key data mining issues: data size and their heterogeneity. When dealing with large data, it is important to resolve both the technical issues such as distributed computing or hashing and general algorithmic complexity. In this part, the course will be motivated mainly by case studies on web and social network mining. The second … text/html 2018-10-18T10:04:27+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b191/courses/xp36vpd/vpd2016?rev=1539849867&do=diff xp36vpd -- Selected parts of data mining Data mining aims at revealing non-trivial, hidden and ultimately applicable knowledge in large data. This course focuses on two key data mining issues: data size and their heterogeneity. When dealing with large data, it is important to resolve both the technical issues such as distributed computing or hashing and general algorithmic complexity. In this part, the course will be motivated mainly by case studies on web and social network mining. The second …