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Implementation of Big Data Analytics Algorithms in Python

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Big Data Analytics

Implementation of Some of the Big Data Analytics Algorithms in Python

# Title Description
1 Friendship Recommendation Suggest new friends to individual users based on their mutual friends using PySpark.
2 Association Rules Implementation of A-priori algorithm for frequent item set mining and association rule learning.
3 Locality-sensitive Hashing Implementation of LSH algorithmic technique that hashes similar input items into the same buckets with high probability.
4 DGIM Algorithm DGIM algorithm implementation to find the number 1's in a dataset.
5 Recommender System Item-based and user-based collaborative filtering using PySpark.
6 k-means k-means clustering algorithm.
7 Triangle Counting Implementations of the algorithms for the adjacency list model in the experiments in the paper "Triangle and Four Cycle Counting with Predictions in Graph Streams".

Author

Rabist - view on LinkedIn

Details

  • Course: Advanced Topics (Big Data Analytics) - MS
  • Teacher: Dr. Mostafa HaghirChehreghani
  • Univ: Amirkabir University of Technology
  • Semester: Spring 2022

License

Licensed under MIT.