DISTRIBUTION IN SEVERAL DIMENSIONS. MULTIVARIATE NORMAL DISTRIBUTION. INFERENCE. EXPLORING MULTIVARIATE DATA. PRINCIPAL COMPONENT ANALYSIS. FACTOR ANALYSIS. DISCRIMINANT ANALYSIS. MULTIDIMENSIONAL SCALING. CONJOINT ANALYSIS.
INTRODUCTION TO DATA MINING. DATA PREPROCESSING. EXPLORATORY DATA ANALYSIS. CLASSIFICATION: DECISION TREES AND MODEL EVALUATION, NEURAL NETWORKS. ASSOCIATION: MARKET BASKET ANALYSIS. CLUSTERING: HIERARCHICAL AND K-MEANS CLUSTERING. AN OVERVIEW OF ANOMALY DETECTION.
