Course ID: D2
Unit: DATA SCIENCE AND ENGINEERING – Unit D: Data Analysis and Processing
Weekly Hours: 4
ECTS Credits: 7
Description: Introduction to data mining problems, learning and generalization, data preprocessing, linear models, decision trees, rule-based classifiers, naïve Bayes, SVM, classifier ensembles, model selection and evaluation, prototype-based clustering (eg. k-means), agglomerative clustering, spectral clustering, association rule mining, feature selection and extraction, scaling issues.