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DATA MINING 2Exercises – KNN, Naïve BayesRiccardo Guidotti, Salvatore Citraro
a.a. 2019/2020
K-NN
Naïve Bayes
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Examples of classification methods CSIT5210. Content KNN Decision Tree Naïve Bayesian Bayesian Belief Network Naïve Neural Network Multilayer Neural Network
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Classification: Logistic Regressionalvin/courses/ugml2016/02b.pdf · Logistic Regression Example Contrasting Naïve Bayes and Logistic Regression Naïve Bayes easier Naïve Bayes
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Running Knn Mapreduce code on Amazon AWS - Virginia Techdmkd.cs.vt.edu/TUTORIAL/Bigdata/Running KNN... · Running Knn Mapreduce code on Amazon AWS Pseudo Code Inputs: Train Data D,
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KNN Classification and Regression using SAS R · KNN Classification and Regression using SAS R Liang Xie, The Travelers Companies, Inc. ABSTRACT K-Nearest Neighbor (KNN) classification
Sweet KNN: An Efficient KNN on GPU through Reconciliation ... · show that Sweet KNN outperforms existing GPU implementations on KNN by up to 120X (11X on average). I. INTRODUCTION
The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5 Mykola Pechenizkiy Department of Computer Science and Information
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Naïve Bayes Classifier · Naïve Bayes Classifier 17 • Bayes Classifier with additional “naïve” assumption: – Features are independent given class: – More generally: •
Data Mining in Healthcare for Diabetes Mellitus=.pdfAJ kumar(2010) using weka a data mining tool done work on 500 people using naïve bayes and KNN techniques. 2.1. Data Mining Data
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Lecture 11: Cross validation - Stanford UniversityScenario2 KNN!1 KNN!CV LDA Logistic QDA 0.25 0.30 0.35 0.40 0.45 SCENARIO 1 KNN!1 KNN!CV LDA Logistic QDA 0.15 0.20 0.25 0.30 SCENARIO
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MLE and MAP•Maximum a posteriori (MAP) estimate •Naïve Bayes •Various Naïve Bayes models •model 1: Bernoulli Naïve Bayes •model 2: Multinomial Naïve Bayes •model 3: