Mount Kenya Noir Coffee Limited wants to improve its marketing strategies by better understanding its customer segments. How can data mining techniques be applied to segment customers based on their purchasing behavior? Discuss the data preprocessing steps, the selection of appropriate clustering algorithms, and how the results can be used to tailor marketing efforts. Understand the question and state practical strategies.

Equity Bank aims to reduce fraudulent transactions by implementing a robust fraud detection system. Explain the key steps in developing a fraud detection model using data mining techniques? Analyze the types of data required, the role of feature engineering, the choice of classification algorithms, and the evaluation of model performance. Understand the working structure of the bank and use real examples

Kenyatta National Hospital the biggest hospital in East and Central Africa wants to utilize its data warehouse to predict patient readmission rates and improve patient care. Describe the architecture of a data warehouse suitable for healthcare data. Explain how data mining methods can be used to predict patient readmission rates, including data integration, the selection of predictive algorithms, and the interpretation of results.