1.1 What is data mining? Data mining background, Inductive learning,
statistics, machine learning.
1.2 Difference between data mining and machine learning, data mining
models, verification model, discovery model, Data mining problems/
issues
2.1 Concept and benefits of data warehousing, type of data, characteristics of a
data warehouse, processes in data warehousing,
2.2 Data warehousing and OLTP systems, The data warehouse architecture,
problems
