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Coursework for CS550 : Massive Data Mining. Topics covered include Map-Reduce, Association Rules, Frequent Itemsets, Locality-Sensitive Hashing (LSH), Singular Value Decomposition (SVD), Page Rank, k-means, Modularity, Spectral Clustering, Clique-based communities, Clustering Data Streams.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Hw 1 - Map-Reduce, Association Rules, Locality-Sensitive Hashing (LSH)		Hw 1 - Map-Reduce, Association Rules, Locality-Sensitive Hashing (LSH)
Hw 2 - Singular Value Decomposition (SVD), Page Rank, k-means		Hw 2 - Singular Value Decomposition (SVD), Page Rank, k-means
Hw 3 - Modularity, Spectral Clustering, Clique-based communities		Hw 3 - Modularity, Spectral Clustering, Clique-based communities
Hw 4 - Clustering Data Streams		Hw 4 - Clustering Data Streams
.DS_Store		.DS_Store
README.md		README.md

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Massive-Data-Mining

Coursework for CS550 : Massive Data Mining.

Assignemnets

Map-Reduce, Association Rules, Locality-Sensitive Hashing (LSH)
Singular Value Decomposition (SVD), Page Rank, k-means
Modularity, Spectral Clustering, Clique-based communities
Clustering Data Streams

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Movie Recommendation System

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Coursework for CS550 : Massive Data Mining. Topics covered include Map-Reduce, Association Rules, Frequent Itemsets, Locality-Sensitive Hashing (LSH), Singular Value Decomposition (SVD), Page Rank, k-means, Modularity, Spectral Clustering, Clique-based communities, Clustering Data Streams.

clustering pagerank mapreduce frequent-itemsets svd-matrix-factorisation massive-dataset-mining

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