'Age 30 buys computer' presentation slideshows

CS490D: Introduction to Data Mining Prof. Chris Clifton

CS490D: Introduction to Data Mining Prof. Chris Clifton. February 9, 2004 Classification. Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Bayesian Classification Classification by decision tree induction

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Classification

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Classification

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Classification

Classification. COMP 790-90 Seminar BCB 713 Module Spring 2011. Bayesian Classification: Why?. Probabilistic learning : Calculate explicit probabilities for hypothesis, among the most practical approaches to certain types of learning problems

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Probabilistic Reasoning and Bayesian Belief Networks

Probabilistic Reasoning and Bayesian Belief Networks. Bayes Classifier. A probabilistic framework for solving classification problems Probability of an even A Conditional Probability: P ( A ? C ) = P ( A | C ) P ( C ), P(A ? C) = P(C | A)P(A) P(C | A)P(A) = P(A | C)P(C)

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Bayesian Classification

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Chapter 6. Classification and Prediction

Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation Support Vector Machines (SVM) Associative classification. Chapter 6. Classification and Prediction. Bayesian Classification.

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