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This lecture introduces the concept of data mining, focusing on the challenges and opportunities presented by the increasing volume of data. Topics covered include the transformation of data into actionable intelligence, the practical and technical questions involved in data mining, and examples of data mining applications such as shopping basket analysis. The lecture also explores the components of data mining algorithms, different classes of data mining problems, and the relationship between data mining and machine learning.