A team of three students from Fulda University of Applied Sciences, Arno Gattas (Applied Computer Science), Alexander Kruse (Business IT) and Tim Schlitzer (Business IT), is placed among the TOP10 of this year’s Data Mining Cup. In this competition more than 100 international teams participated. The announcement of the exact order within the TOP10 is still pending.
This year, the participants were asked to develop a recommender system for a book store. During the Corona crisis, a local books store opened an online shop to bridge the lock-down period. Similar to well-known online shops, customers should be offered other books from the bookseller's range of books in addition to the currently displayed book. These suggestions had to be created for a larger number of books and should match the original book. Instead of a manual book recommendation by an employee in the local shop, the students had to develop a software that was able to take over this task successfully.
The students were able to apply their knowledge from their studies and worked on a solution in their free time. This solution includes both, data preparation as well as data analysis, and utilized a wide variety of software packages from the field of data science. They could build on their knowledge from an excursion to the German-Jordanian University in Amman and from the Bachelor-course Data Mining. In addition to the theoretical knowledge, the students were able to gain their first hands-on-experience in practical data mining projects during the Data Mining course and also achieved great results.
The Data Mining Cup, organised by prudsys AG since 2002, attracts national and international student teams and is considered the most important Data Mining competition in Germany in the university sector. In this competition, students compete annually on various tasks from the field of data mining. So far, only one team from Fulda University of Applied Sciences had participated in the Data Mining Cup and achieved a good 29th place in 2019.
The degree programmes Business IT (Bachelor of Science) and Applied Computer Science - specialisations on Data Science (Master of Science) can be started in the summer and winter semester. The application process for the winter semester is currently ongoing.
Photo: © Gattas, Kruse, Schlitzer