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Introduction to Data Mining

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Introduction to data MiningInstructor s Solution ManualPang-Ning TanMichael SteinbachVipin KumarCopyrightc 2006 Pearson Addison-Wesley. All rights Introduction12Data53 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 Detection157iii1Introduction1. 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.

7 Association Analysis: Advanced Concepts 95 8 Cluster Analysis: Basic Concepts and Algorithms 125 ... Monitoring seismic waves for earthquake activities. Yes. In this case, we would build a model of different types of ... Association rule analysis works with binary attributes, so you have to convert original data into binary form as follows:

  Analysis, Introduction, Seismic, Data, Advanced, Mining, Attribute, Introduction to data mining

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