IST-872
MS
Mining Massive Datasets (CS-872)
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Introduction to map-reduce; large scale file systems, hadoop distributed file system (HDFS); similarity search; minhashing; locality sensitive hashing; fast data-stream processing; PageRank; link-spam detection; frequent itemset mining; clustering very large and high-dimensional datasets; dimensionality reduction: PCA, SVD; CUR decomposition.
In Programmes
MS
MS (Information Science & Technology)
Electives Pool —
Elective (Current Scheme)