This is the course website for the course on Mining Media Data. The main focus of this introductory course to focus on established and state-of-the-art data mining methods suited to analyze media data that usually are collections of behavioral telemetry, transactional, textual, social network, financial as well as temporal datasets. The topics we will investigate include: affinity mining, latent pattern mining, text mining, and predictive data mining. In addition to that, we will put emphasis on mathematical optimization, representation learning and model interpretability as well as give practical examples of the covered methods.
Prerequisites: Basic knowledge of AI, data science, machine learning, and pattern recognition; programming skills; good working knowledge in statistics, linear algebra, and optimization.
The course has 4-ETCS credits (with 2+2 SWS) and is thought by Dr. Rafet Sifa. For questions please write to mmdlecture@gmail.com.
[11.02.21] Latest lecture notes are now online.
[14.01.21] The slides for Lecture 8 are now online
[07.01.21] We have two announcements today:
[17.12.20] The slides for Lecture 6 are now online.
[02.12.20] The slides for Lecture 5 are now online.
[26.11.20] The slides for Lecture 4 are now online.
[19.11.20] Assignment 2 is now online.
[18.11.20] The slides for Lecture 3 are now online.
[13.11.20] The slides for Lecture 2 are now online.
[05.11.20] The first lecture will take place today. The registered students have been informed via email about the Zoom URL. The first assignment is available online.
[15.10.20] The Mining Media Data course will be thought remotely in the winter semester 20/21 due to the current restrictions resulted by the COVID-19 pandemic. To include the first semester students, the first lecture will take place on 05.11.20 at 12:00 (CEST). If you are interested in taking this lecture, there will be two registration periods. First period for content- and mailing-list registration ends on 04.11.20 at 9:30 (CEST). In order to get access to the course material (Lecture URL, lecture url, exercise sheets and etc.) and get added to the mailing list, the students are asked to send their names, email addresses, matriculation numbers and their study programs (e.g. M.Sc. in Media Informatics) to mmdlecture@gmail.com (only mails from university email addresses will be considered). The mail should be titled as Registration WS 20/21 and the content should have the student's information in one line formatted in a comma-separated fashion: MATRICULATION_NUMBER, UNIVERSITY_EMAIL, NAME, SURNAME, PROGRAM (e.g. 12345,max.mustermann@my-university.de,Max,Mustermann, M.Sc. in Media Informatics). The second and the final registration period will end on 23.11.20 at 9:30 (CEST). The students will receive an email informing them about the course after the end of each registration period.