Question 2)

Part A) Data mining I) Define data mining and explain with an example how this integrates artificial intelligence, machine learning, statistics and databases II) Explain the data mining process from available data to scoring using a real world example III) Distinguish between supervised learning and unsupervised learning with respect to fundamental approaches IV) Describe and evaluate a method used to support supervised learning and a method used to support unsupervised learning

Part B) Forecasting, optimization and simulation I) Describe the purpose of forecasting using examples for three distinct approaches II) Define optimization and provide an example of the techniques use in operations III) Define simulation and provide an example of the techniques use in operations IV) Explain with an example how data may be used to support a holistic approach to a complete operational system