Lab assignments for the Analysis of Massive Data Sets course @ FER, University of Zagreb
- Lab1.A - SimHash
- Lab1.B - LSH (Locality-sensitive hashing)
- Lab2 - PCY (Park-Chen-Yu) algorithm
- Lab3 - DGIM (Datar-Gionis-Indyk-Motwani) method
- Lab4.A - Node Rank
- Lab4.B - Closest Black Node
- Lab5 - CF (Collaborative Filtering)
NOTE: The solutions had to be submitted as a single file and compilable by Mono mcs 3.2.8.0 (C# 6 features and later not supported)