Introduction to Data Mining 2nd Edition Pang-Ning Tan-Test Bank

Introduction to Data Mining introduces the basic ideas and algorithms of information mining. The textual content provides a complete overview of the background and normal themes of information mining and is designed to be helpful to college students, instructors, researchers and professionals.

Offered in a transparent and accessible method, the guide outlines basic ideas and algorithms for every subject, thus offering the reader with the mandatory background for the appliance of information mining to actual issues. The textual content helps you perceive the nuances of the topic, and contains essential sections on classification, affiliation evaluation and cluster evaluation.

This 2nd Edition improves on the primary iteration of the guide, revealed over a decade in the past, by addressing the numerous modifications within the trade because of superior expertise and information development.