1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

Chapter 1: Introduction

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

SAS Enterprise Miner

SAS Enterprise Miner – Interface Tour

Menu bar and shortcut buttons

Project panel

Properties panel

Help panel

Diagram workspace

Process flow

SEMMA tools palette

SEMMA – Sample Tab

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

SEMMA – Explore Tab

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

SEMMA – Modify Tab

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

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

SEMMA – Assess Tab

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

Beyond SEMMA – Utility Tab

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

Credit Scoring Tab (Optional)

• Credit Exchange• Interactive Grouping• Reject Inference• Scorecard

The Analytic Workflow

Analytic workflow

SAS Enterprise Miner Analytic Strengths

Predictive Modeling

Pattern Discovery

Applied Analytics Case Studies

Bank usage segmentation

Web services associations

University enrollment prediction

Credit risk scoring

1 Chapter 1: Introduction 1.1 Introduction to SAS Enterprise Miner

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