Projects developed for the course Data Mining in KTH Royal Institute of Technology, including algorithms to find similar items, discover frequent itemsets, mine graph data streams and analyze graph spectra.

Project to study distributed graph partitioning techniques by implementing the JaBeJa algorithm using Java. It was evaluated using several graphs 3elt, add20, Twitter, and several modifications to the original algorithm were tested.