23
1 Chapter 1: Introduction 1.1 Introduction to SAS 1.1 Introduction to SAS Enterprise Miner Enterprise Miner

Chapter 1: Introduction

Embed Size (px)

DESCRIPTION

Chapter 1: Introduction. SAS Enterprise Miner. SAS Enterprise Miner – Interface Tour. Menu bar and shortcut buttons. SAS Enterprise Miner – Interface Tour. Project panel. SAS Enterprise Miner – Interface Tour. Properties panel. SAS Enterprise Miner – Interface Tour. Help panel. - PowerPoint PPT Presentation

Citation preview

Page 1: Chapter 1: Introduction

1

Chapter 1: Introduction

1.1 Introduction to SAS Enterprise Miner1.1 Introduction to SAS Enterprise Miner

Page 2: Chapter 1: Introduction

2

SAS Enterprise Miner

Page 3: Chapter 1: Introduction

3

SAS Enterprise Miner – Interface Tour

Menu bar and shortcut buttons

Page 4: Chapter 1: Introduction

4

SAS Enterprise Miner – Interface Tour

Project panel

Page 5: Chapter 1: Introduction

5

SAS Enterprise Miner – Interface Tour

Properties panel

Page 6: Chapter 1: Introduction

6

SAS Enterprise Miner – Interface Tour

Help panel

Page 7: Chapter 1: Introduction

7

SAS Enterprise Miner – Interface Tour

Diagram workspace

Page 8: Chapter 1: Introduction

8

SAS Enterprise Miner – Interface Tour

Process flow

Page 9: Chapter 1: Introduction

9

SAS Enterprise Miner – Interface Tour

Node

Page 10: Chapter 1: Introduction

10

SAS Enterprise Miner – Interface Tour

SEMMA tools palette

Page 11: Chapter 1: Introduction

11

SEMMA – Sample Tab

• Append • Data Partition• File Import• Filter• Input Data• Merge• Sample• Time Series

Page 12: Chapter 1: Introduction

12

SEMMA – Explore Tab

• Association• Cluster• DMDB• Graph Explore• Market Basket• Multiplot• Path Analysis• SOM/Kohonen• StatExplore• Variable Clustering• Variable Selection

Page 13: Chapter 1: Introduction

13

SEMMA – Modify Tab

• Drop• Impute• Interactive Binning• Principal Components• Replacement• Rules Builder• Transform Variables

Page 14: Chapter 1: Introduction

14

SEMMA – Model Tab

• AutoNeural• Decision Tree• Dmine Regression• DMNeural• Ensemble• Gradient Boosting• Least Angle Regression• MBR• Model Import• Neural Network• Partial Least Squares• Regression• Rule Induction• Support Vector Machines• Two Stage

Page 15: Chapter 1: Introduction

15

SEMMA – Assess Tab

• Cutoff• Decisions• Model Comparison• Score• Segment Profile

Page 16: Chapter 1: Introduction

16

Beyond SEMMA – Utility Tab

• Control Point• End Groups• Ext Demo• Metadata• Reporter• SAS Code• Start Groups

Page 17: Chapter 1: Introduction

17

Credit Scoring Tab (Optional)

• Credit Exchange• Interactive Grouping• Reject Inference• Scorecard

Page 18: Chapter 1: Introduction

18

Page 19: Chapter 1: Introduction

19

1.01 PollTools under the Sample tab change the number of columns of the data, whereas tools under the Modify tab change the number of rows.

True

False

Page 20: Chapter 1: Introduction

20

1.01 Poll – Correct AnswerTools under the Sample tab change the number of columns of the data, whereas tools under the Modify tab change the number of rows.

True

False

Page 21: Chapter 1: Introduction

21

The Analytic Workflow

Analytic workflow

Def

ine

anal

ytic

obj

ectiv

e

Sele

ct c

ases

Extr

act i

nput

dat

a

Valid

ate

inpu

t dat

a

Rep

air i

nput

dat

a

App

ly a

naly

sis

Tran

sfor

m in

put d

ata

Gen

erat

e de

ploy

men

t met

hods

Inte

grat

e de

ploy

men

t

Gat

her r

esul

ts

Ass

ess

obse

rved

resu

lts

Ref

ine

anal

ytic

obj

ectiv

e

Page 22: Chapter 1: Introduction

22

SAS Enterprise Miner Analytic Strengths

Predictive Modeling

Pattern Discovery

Page 23: Chapter 1: Introduction

23

Applied Analytics Case Studies

Bank usage segmentation

Web services associations

University enrollment prediction

Credit risk scoring