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Introduction to Data Mining - University of Minnesota

Introduction to data MiningInstructor s Solution ManualPang-Ning TanMichael SteinbachVipin KumarCopyrightc 2006 Pearson Addison-Wesley. All rights Introduction12 Data53 Exploring Data194 Classification: Basic Concepts, Decision Trees, and ModelEvaluation255 Classification: Alternative Techniques456 Association Analysis: Basic Concepts and Algorithms717 Association Analysis: Advanced Concepts958 Cluster Analysis: Basic Concepts and Algorithms1259 Cluster Analysis: Additional Issues and Algorithms14710 Anomaly Detection157iii1 Introduction1. Discuss whether or not each of the following activities is a data miningtask.(a) Dividing the customers of a company according to their This is a simple database query.(b) Dividing the customers of a company according to their This is an accounting calculation, followed by the applica-tion of a threshold. However, predicting the profitability of a newcustomer would be data Mining .

each outcome from the data, then this is more like the problems considered by data mining. However, in this specific case, solu-tions to this problem were developed by mathematicians a long time ago, and thus, we wouldn’t consider it to be data mining. (f) Predicting the future stock price of a company using historical records. Yes.

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