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This document provides an introduction to data mining. It discusses what data mining is, its main roles including estimation, prediction, classification, clustering and association. It also outlines some common data mining algorithms used for these roles, including linear regression, naive bayes, k-means clustering and association rule mining. Finally, it discusses the different learning methods in data mining algorithms, including supervised, unsupervised and association learning.

Author

Ajiek Qua

Language

EN