University of Michigan - Shanghai Jiao Tong University Joint Institute

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Ve 484:  Data Mining


Course description: Data mining, graph data, kernel methods, dimensionality reduction, sequence mining, clustering, representative-based clustering, hierarchical clustering, density-based clustering, spectral clustering, classification, decision trees, linear discriminant analysis, support vector machines, principal component analysis, singular value decomposition, search engines, recommender systems, high-dimensional data, large-scale data. 
Credit hours4 credits
Pre-requisites:  Background on a programming language
Syllabus