Lecture 03 Data Representation

The document outlines key concepts in data mining and text mining, focusing on input components such as concepts, instances, and attributes, including their types like nominal, ordinal, interval, and ratio. It discusses the importance of attribute types for machine learning algorithms to ensure accurate comparisons and interpretations of data. Additionally, it covers issues related to missing and inaccurate values, providing examples and visualization techniques for understanding data better.