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8/3/2019 CART (Data Mining Software)
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CART (Data Mining Software)
Sabam Parjuangan
Atma Hadiansyah
Masrizal
Sahara Abdi
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Overview
What is the Cart?
Define the goal of Cart
Simple Case using Cart
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What is the Cart?
Cart is software a robust decision-tree tool for data mining,
predictive modeling, and data processing. CART can be applied to
data from any subject. We have come across CART models in
agriculture, banking, genetics, mark eting, security, and zoology,
among many others, and the citations to CART number in the
thousands.
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About CART Menus
When you first start CART you see one set of menus but the menu items
will change as you progress through an analysis. Menus can change to
reflect the stage of your analysis and the window you have ac tive. As a
result, not all menus are always available. Similarly, when not
accessible, the commands that appear in the pull-down menus and the
toolbar icons are disabled.
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FILE Open data set, Navigator file,
Grove File, or command file
Save analysis results, Navigator file, Grove
file, or command file
Open a CART notepad for creating command
scripts
Specify printing parameters Activate interactive c ommand mode
Submit batch command files
EDIT Cut, copy and paste s elected text
Specify colors and fonts
Control reporting options
Set random number seed
Specify default directories
VIEW Open command log
View data View descriptive statistics Display next pruning
Assign class names and apply colors View main tree and/or sub-tree rules Overlay gains charts
Specify level of detail displayed in treenodes
EXPLORE Generate frequencydistributionsMODEL Specify model setup
parameters Grow trees/committee of experts Generate predictions/score data Translate models into SAS , C, or PMML
TREE Prune/grow tree one level View optimal/minimum cost/maximal tree View tree summary reports
REPORT Control CART reportingfacility
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Selecting Target and Predictor Variables
For this analysis, the binary categorical variable TARGET (coded
0/1) is the target (or dependent) the variable. To mark the target
variable, use the to scroll down the variable list until the TARGET
name is visible and place a check mark as shown below.
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Timeline
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Date 1 Date 2 Date 3 Date 4
Timeline
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Date 1
Date 2
Date 3
Date 4
Timeline
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Looking Ahead
When is the next milestone?
What are the expected deliverables?
Known risks and issues
o What is the investigation timeline for these
issues?
What are the immediate next steps?
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Dependencies and Resources
Project
Vendors
Manufacturing
SalesEngineering
RemoteTeams
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Appendix
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Appendix
Budget
Design documents
Marketing plan
Supplemental documents
Contact information