DSC-772
MS
Data Mining
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
The data mining process, Data preprocessing: Cleaning, Transformation, Reduction. Data warehousing: Multidimensional data modeling, OLAP. Classification: Bayesian, Decision tree. Prediction, Mining association rules: Association rules and types, Interestingness measures, multidimensional rules, Apriori algorithm. Cluster analysis: Partitional, Hierarchical, Density based. Mining complex data.
In Programmes
MS
MS (Data Science)
Electives Pool —
Elective (Current Scheme)