S. Finlay
Introduction Project Planning Sample Selection Gathering and Preparing Data Understanding Relationships in Data Data Transformation (Pre-processing) Model Construction (Parameter Estimation) Validation, Model Performance and Cut-off Strategy Sample Bias and Reject Inference Implementation and Monitoring Multi-model (Fusion) Systems Further Topics Bibliography