Introduction to Data Mining
"As with the first edition, the second edition of the book provides
a comprehensive introduction to data mining and is designed to be accessible and useful to students, instructors, researchers, and professionals. Areas
covered include data preprocessing, predictive modeling, association analysis,
cluster analysis, anomaly detection, and avoiding false discoveries. The goal is
to present fundamental concepts and algorithms for each topic, thus providing
the reader with the necessary background for the application of data mining
to real problems."
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Table of Content
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Salient Features
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