INTRODUCTION

On December 13-14 2021, the School for Information and Knowledge Systems (SIKS) organizes the new course “Foundations of Data Science: Data Mining”. The course will be given in English and is part of the Educational Program for SIKS-PhD-students. It is a course with a broad focus, aimed at all SIKS-PhD-students regardless the research area they are actually working on. Although these courses are primarily intended for SIKS-PhD-students, other participants are not excluded. However, their admittance will be restricted and depends on the number of SIKS-PhD-students that wish to enroll.

LOCATION:

Utrecht, You will receive the exact location in an information e-mail.

DATE:

13-14 December 2021

SCIENTIFIC DIRECTORS:

Dr. Ad Feelders (UU)
Prof. dr. Arno Siebes (UU)

PROGRAM

Monday December 13
08.55 – 09.00 Welcome
09.00 – 11.00 Wouter Duivesteijn (TU/e): Exceptional Model Mining – Finding Interpretable Subgroups Exhibiting Exceptional Behavior
11.00 – 11.15 Break
11.15 – 13.15 Sibylle Hess (TU/e): Matrix Factorizations with binary constraints: from k-means to deep learning
13.15 – 14.15 Break
14.15 – 16.15 Alex Telea (UU): Visual Analytics for Opening the Black Box of Machine Learning
16.15 Closing

Tuesday December 14
09.00 – 11.00 Arno Knobbe (UL): Sports Data Science
11.00 – 11.15 Break
11.15 – 13.15 Thomas van Dijk (Würzburg): Algorithms that need help: active learning and machine learned advice
13.15 – 14.15 Lunch
14.15 – 16.15 Mitra Baratchi (UL): Urban Computing Research
16.15 Closing

REGISTRATION

In the conference center there is a limited number of places and there is interest from other groups in the topic as well. Therefore, an early registration is required. For registration you are kindly requested to fill in the registration form.

The registration form is closed.

After that date, applications to participate will be honoured in a first-come first-serve manner. Of course, applications to participate from other interested groups are welcome already. They will receive a notification whether they can participate as soon as possible.

Information for non-SIKS Ph.D.- students
SIKS needs a confirmation from your supervisor/office that they agree with the arrangement and paying conditions.