Core techniques in big data analytics (knowledge discovery, data mining). Basic concepts of frequent patterns, algorithms for mining frequent patterns from large scale transactional databases. Clustering and classification: k-means, hierarchical k-means, DB-Scan, Gaussian mixture models, decision trees, Bayesian methods, linear classification methods, support vector machines. Practice of big data analytics in business intelligence: data warehousing, data lakes.
Core techniques in big data analytics (knowledge discovery, data mining). Basic concepts of frequent patterns, algorithms for mining frequent patterns from large scale transactional databases. Clustering and classification: k-means, hierarchical k-means, DB-Scan, Gaussian mixture models, decision trees, Bayesian methods, linear classification methods, support vector machines. Practice of big data analytics in business intelligence: data warehousing, data lakes.
