Matignon: Data Mining Using SAS Enterprise Miner
The Association for Computing MachineryRate It
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Chapters
-
Watch Full Program
01 hr 17 min 06 sec
- 01.
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Introduction
02 min 00 sec
- 02.
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Exploring the Enterprise Miner Workflow
08 min 01 sec
- 03.
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Modeling Baseball Statistics
03 min 01 sec
- 04.
-
Setting up a Project
01 min 42 sec
- 05.
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Explaining Data Mining
04 min 24 sec
- 06.
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Selecting and Inputting Data
05 min 42 sec
- 07.
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Weighting Variables and Expected Decisions
03 min 21 sec
- 08.
-
Choosing a Sample and Looking at the Results
03 min 07 sec
- 09.
-
Filtering Outliers
04 min 49 sec
- 10.
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Applying Transformations to the Results
05 min 31 sec
- 11.
-
Finding the Best Variables
03 min 11 sec
- 12.
-
Partitioning the Data
02 min 00 sec
- 13.
-
Using Regression Modeling
03 min 52 sec
- 14.
-
Using Nearest Neighbor Modeling
01 min 57 sec
- 15.
-
Using Neural Network Modeling and Managing Your Models
03 min 24 sec
- 16.
-
Creating a Decision Tree
02 min 53 sec
- 17.
-
Graphing Your Principal Components
02 min 01 sec
- 18.
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Further Analysis
03 min 19 sec
- 19.
-
Using Graphic Representations to Find the Best Model
05 min 14 sec
- 20.
-
Creating a Report of the Results
02 min 13 sec
- 21.
-
Looking at Two Stage and Cluster Modeling
05 min 12 sec
-
Watch Full Program
01 hr 17 min 06 sec
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