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Data Mining

Data Mining. What Is Data Mining?. Data Mining is the discovery of hidden knowledge, unexpected patterns and new rules in large databases Automating the process of searching patterns in the data. Objective of Data Mining. Any of four types of relationships are sought:

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Classification with Decision Trees I

Classification with Decision Trees I. Instructor: Qiang Yang Hong Kong University of Science and Technology Qyang@cs.ust.hk Thanks: Eibe Frank and Jiawei Han. INTRODUCTION. Given a set of pre-classified examples, build a model or classifier to classify new cases.

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382 views • 29 slides

18.3 Decision Trees

18.3 Decision Trees. Instructor: Qiang Yang Hong Kong University of Science and Technology Qyang@cs.ust.hk Thanks: Eibe Frank and Jiawei Han. DECISION TREE [Quinlan93]. An internal node represents a test on an attribute. A branch represents an outcome of the test, e.g., Color=red.

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227 views • 22 slides

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Data Mining

Classification with Decision Trees I

18.3 Decision Trees