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Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar jectives Data Mining Cours Goals and Objectives of Data Mining Classification Techniques Association Analysis Clustering Algorithms Exploratory Data Analysi and Preprocessing Apply Data Mining to Real World Datasets Learn How to Interpret Data Mining Results Implementing Data Mining Algorithms Using R for Data Analysis and Data Mining Making Sense of Data

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Objectives Data Mining Course. Lecture Notes for Chapter 4 Introduction to Data Mining by Tan, Steinbach, Kumar. Using R for Data Analysis and Data Mining. Apply Data Mining to Real World Datasets. Exploratory Data Analysis and Preprocessing. - PowerPoint PPT Presentation

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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


Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining By Tan, Steinbach, Kumar 1

by Tan, Steinbach, Kumar - University of Minnesotakumar001/dmbook/dm... · © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 5 Anomaly Detection Schemes OGeneral Steps

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach,

Data Mining Classification: Alternative Techniques Lecture Notes for Chapter 5 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar

1 Ensemble Learning: An Introduction Adapted from Slides by Tan, Steinbach, Kumar

Isfahan University of Technology - iut.ac.ir · Isfahan University of Technology ... Introduction to Data Mining by Tan, Steinbach and Kumar ... Unsupervised Learning

Partitional and Hierarchical Based clustering Lecture 22 Based on Slides of Dr. Ikle & chapter 8 of Tan, Steinbach, Kumar

Data Mining Cluster Analysis Basics From Introduction to Data Mining by Tan, Steinbach, Kumar

Tan, Steinbach, Kumar, Eick: NN-Classifiers and Support Vector Machines Classification and Decision Boundaries Classification can be viewed as “learning

Classificadores Bayesianos Introduction to Data Mining (Cap. 5.3) Tan, Steinbach, Kumar

CLUSTERING AND SEGMENTATION MIS2502 Data Analytics Adapted from Tan, Steinbach, and Kumar (2004). Introduction to Data Mining. kumar/dmbook

© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Other Classification Techniques 1.Nearest Neighbor Classifiers 2.Support Vector Machines

by Tan, Steinbach, Kumar - University of Minnesotakumar/dmbook/dmslides/chap1_intro.… · © Tan,Steinbach, Kumar Introduction to Data Mining ... Introduction to Data Mining by Tan,

© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Data Mining: Introduction Chapitre 1 Introduction au Data Mining

Data Mining Association Analysis: Basic Concepts and Algorithms Based on Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction

Data Mining: Introduction Based on slides from: Tan, Steinbach, Kumar

Computational Biology Clustering Parts taken from Introduction to Data Mining by Tan, Steinbach, Kumar Lecture Slides Week 9

Eick, Tan, Steinbach, Kumar: Association Analysis Part1, 10/20/09 Organization “Association Analysis” 1. What is Association Analysis? 2. Association Rules

Chapter DM:II (continued) - webis.de · Cluster Evaluation [Tan/Steinbach/Kumar 2005] Random points DM:II-200 Cluster Analysis ©STEIN 2006-2019

Data Mining Classification: Naïve Bayes Classifier Lecture Notes for Chapter 4 &5 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach,

Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach,

© Tan,Steinbach, Kumar Introduction to Data Mining 8/05/2005 1 Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining by Tan,

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar Tan,Steinbach,

Eick, Tan, Steinbach, Kumar: Association Analysis Part1 Organization “Association Analysis” 1. What is Association Analysis? 2. Association Rules 3. The

Data Mining Association Analysis Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1

Mining Sequential Patterns © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 Slides are adapted from Introduction to Data Mining by Tan, Steinbach,

1 Data Mining: Introduction Chapter 1 of Introduction to Data Mining by Tan, Steinbach, Kumar

Computational Biology Lecture Slides Week 10 Classification (some parts taken from Introduction to Data Mining by Tan, Steinbach, Kumar)

Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach,

© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Statistical Inference (By Michael Jordon) l Bayesian perspective –conditional perspective—inferences

by Tan, Steinbach, Kumar

Machine Learning: Decision Trees Homework 4 assigned courtesy: Geoffrey Hinton, Yann LeCun, Tan, Steinbach, Kumar

Data Mining Association Analysis: Basic Concepts and Algorithms Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction

Data Mining Classification: Alternative Techniques From Chapter 5 in Introduction to Data Mining by Tan, Steinbach, Kumar

Critical Issues with Respect to Clustering Lecture Notes for Chapter 8 Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction