Topic Materials
Association Rule Mining [ Slides (pptx) ] [ Slides (pdf) ]
Assignment 1: Association Rule Mining [ Assignment (pdf) ] [ Data (text) ]
Supervised Learning, Linear Regression, kNN Classification [ Slides (pptx) ] [ Slides (pdf) ]
Naïve Bayes Classification [ Slides (pptx) ] [ Slides (pdf) ]
R [ Slides (pptx) ] [ Slides (pdf) ]
kNN using R [ kNN using R (R file) ] [ Sample house data (txt) ]
Decision Tree [ Slides (pptx) ] [ Slides (pdf) ]
Assignment 2: R, cross validation and Naive Bayes [ Assignment (pdf) ]
Linear Discriminant Analysis [ Slides (pptx) ] [ Slides (pdf) ]
Logistic Regression [ Slides (pptx) ] [ Slides (pdf) ]
High Dimensional Search [ Slides (pptx) ] [ Slides (pdf) ]
Basics of search [ Slides (pptx) ] [ Slides (pdf) ]
PageRank [ Slides (pptx) ] [ Slides (pdf) ]
Support Vector Machine [ Slides (pptx) ] [ Slides (pdf) ]
MapReduce [ Slides (pptx) ] [ Slides (pdf) ]
Social Network Graph Mining [ Slides (pptx) ] [ Slides (pdf) ]
Streaming Data Mining [ Slides (pptx) ] [ Slides (pdf) ]