Mathematical models for decision making: Structure of mathematical models, Development of a model, Classes of modelsĭata mining: Definition of data mining, Representation of input data, Data mining process, Analysis methodologiesĭata preparation: Data validation, Data transformation, Data reductionĬlassification: Classification problems, Evaluation of classification models, Bayesian methods, Logistic regression, Neural networks, Support vector machines.Ĭlustering: Clustering methods, Partition methods, Hierarchical methods, Evaluation of clustering modelsīusiness intelligence applications: Marketing models: Relational marketing, Sales force management Business intelligence: Effective and timely decisions, Data, information and knowledge, The role of mathematical models, Business intelligence architectures, Ethics and business intelligenceĭecision support systems: Definition of system, Representation of the decision-making process, Evolution of information systems, Definition of decision support system, Development of a decision support system
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