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

1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

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

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Chapter 1: Introduction

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

Page 2: 1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

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SAS Enterprise Miner

Page 3: 1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

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SAS Enterprise Miner – Interface Tour

Menu bar and shortcut buttons

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SAS Enterprise Miner – Interface Tour

Project panel

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SAS Enterprise Miner – Interface Tour

Properties panel

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SAS Enterprise Miner – Interface Tour

Help panel

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SAS Enterprise Miner – Interface Tour

Diagram workspace

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SAS Enterprise Miner – Interface Tour

Process flow

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SAS Enterprise Miner – Interface Tour

Node

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SAS Enterprise Miner – Interface Tour

SEMMA tools palette

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SEMMA – Sample Tab

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

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SEMMA – Explore Tab

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

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SEMMA – Modify Tab

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

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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• Two Stage

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SEMMA – Assess Tab

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

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Beyond SEMMA – Utility Tab

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

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Credit Scoring Tab (Optional)

• Credit Exchange• Interactive Grouping• Reject Inference• Scorecard

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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

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SAS Enterprise Miner Analytic Strengths

Predictive Modeling

Pattern Discovery

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Applied Analytics Case Studies

Bank usage segmentation

Web services associations

University enrollment prediction

Credit risk scoring