DSCI4520_SEMMA-CRISP-DM_2

DSCI4520_SEMMA-CRISP-DM_2 - DSCI 4520/5240 DATA MINING DSCI...

Info iconThis preview shows pages 1–13. Sign up to view the full content.

View Full Document Right Arrow Icon
Lecture 2 - 1 DSCI 4520/5240 DATA MINING Some slide material taken from: Groth, Han and Kamber, SAS Education DSCI 4520/5240 Lecture 2 The SEMMA process The CRISP-DM process DSCI 4520/5240 DBDSS (DATA MINING)
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 2 - 2 DSCI 4520/5240 DATA MINING Objectives Define SEMMA. Introduce CRISP-DM
Background image of page 2
Lecture 2 - 3 DSCI 4520/5240 DATA MINING SEMMA S ample E xplore M odify M odel A ssess
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 2 - 4 DSCI 4520/5240 DATA MINING Sample Input Data Source Sampling Data Partition
Background image of page 4
Lecture 2 - 5 DSCI 4520/5240 DATA MINING Explore Distribution Explorer Multiplot Insight Association Variable Selection Link Analysis
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 2 - 6 DSCI 4520/5240 DATA MINING Modify Data Set Attributes Transform Variables Filter Outliers Replacement Clustering Self-Organized Maps Kohonen Networks Time Series
Background image of page 6
Lecture 2 - 7 DSCI 4520/5240 DATA MINING Model Regression Tree Neural Network Princomp/ Dmneural User Defined Model Ensemble Memory Based Reasoning Two-Stage Model
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 2 - 8 DSCI 4520/5240 DATA MINING Assess Assessment Reporter
Background image of page 8
Lecture 2 - 9 DSCI 4520/5240 DATA MINING Other Types of Nodes – Scoring Nodes Score C*Score
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 2 - 10 DSCI 4520/5240 DATA MINING Other Types of Nodes – Utility Nodes Group Processing Data Mining Database SAS Code Control Point Subdiagram
Background image of page 10
Lecture 2 - 11 DSCI 4520/5240 DATA MINING Readings on SAS EM nodes Read Sarma text, chapter 2, for more info on: 2.6.1 Input Data node 2.6.2.1 StatExplore node 2.6.2.2 MultiPlot node 2.6.3 Impute node 2.6.4 Data Partition node 2.6.6 Variable Selection node 2.6.7 Transform Variables node 2.6.8 SAS Code node
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
DSCI 4520/5240 DATA MINING Reducing armed robberies in South Africa SAS helped Absa, a Major South African Bank reduce armed robberies by 41 percent over two years (2002- 2003), netting a 38 percent reduction in cash loss and an 11 percent increase in customer satisfaction ratings Absa, one of South Africa's largest banks, uses SAS' data mining capabilities to leverage their data for better customer relationships and more targeted marketing campaigns. With SAS analytics, the bank can also track which branches are more likely to fall victim to a robbery and take effective preventive measures. http://www.sas.com/success/absa.html
Background image of page 12
Image of page 13
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/10/2011 for the course DSCI 4520 taught by Professor Staff during the Spring '08 term at North Texas.

Page1 / 28

DSCI4520_SEMMA-CRISP-DM_2 - DSCI 4520/5240 DATA MINING DSCI...

This preview shows document pages 1 - 13. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online