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The protocol for the Abalone project groups Other3.*

I developed a project for Kadaster, together with a team of fellow students. In this project, we focused on gathering data from the Kadaster database to display the university buildings from the Netherlands based on multiple filters such as education and courses type of the building, as well as the distance from the user to the building’s location . My main role was to work on the website's backend, using Java and Jersey, although I have also contributed with my knowledge on SQL, HTML, CSS.

This project brings the classic word game, Scrabble, to the digital realm, allowing two players to compete head-to-head over a network. Players take turns forming words on a virtual game board, scoring points based on the letters used and their placement. Key Features: Networked Gameplay, Interactive GUI, Turn-Based Play, Real-Time Chat.

QuestionMark: the probabilistic benchmark is the Python program to benchmark any probabilistic database management system.

This project is written by Nikki Zandbergen as part of her M.Sc. Computer Science thesis at the University of Twente. This project was supervised by Maurice van Keulen, Tom van Dijk and Jan Flokstra.

To run this benchmark, a dataset should be generated with QuestionMark: The Dataset Generator.

QuestionMark: The Dataset Generator is a Python program to create a dataset for probabilistic product matching. This dataset is required to run the benchmark test with QuestionMark: The Probabilistic Benchmark.

This project is written by Nikki Zandbergen as part of her M.Sc. Computer Science thesis at the University of Twente. This project was supervised by Maurice van Keulen, Tom van Dijk and Jan Flokstra.

The dataset created by this program is an adaptation of the WDC Product Data Corpus for Large-Scale Product Matching dataset. The clustering provided by this original dataset is removed and a new probabilistic clustering is introduced.