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Page 1: Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar

Lecture Notes for Chapter 4

Introduction to Data Miningby

Tan, Steinbach, Kumar

Objectives Data Mining Course

Goals and Objectives of Data Mining

Classification Techniques

Association Analysis

Clustering Algorithms

Exploratory Data Analysisand Preprocessing

Apply Data Mining to Real World Datasets

Learn How to InterpretData Mining Results

Implementing Data Mining Algorithms

Using R forData Analysis

and Data Mining

Making Sense of Data

Page 2: Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar

Top 10 Data Mining Algorithms

SVMK-means

PageRank

C4.5

APRIORIEM

CART

AdaBoostkNN

Naïve Bayes


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