Knowledge Discovery end Decision Support Systems

Learning Outcomes

Understanding of the complex and iterative process of discovering knowledge in data, the types of knowledge that emerge, and the algorithms that perform the extraction. Ability to evaluate emerging models and standards. Ability to configure the appropriate data mining mechanism for decision support.

Indicative Module Content

• Knowledge discovery from data – the steps.
• Predictive models and informative patterns as tools for Decision Making
• Knowledge discovery as an application of machine learning algorithms.
• Supervised learning:
  • classification
  • regression
• Unsupervised learning
  • clustering
  • association rules
• Mining complex data: text, images, web data, etc.
• Reinforced Learning
• Deep Learning
• Evaluation metrics
• Problems in Knowledge Discovery