cart (data mining software)

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

cart (data mining software)

Documents