Date post: | 08-Jan-2018 |
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Data MiningData Mining
Instructor: Dr C. C. Chan
Presented by Uday Seelam
What’s this for?What’s this for? Remote Desktop Import and Export data to SQL Server Enterprise Manager
Query Analyzer OLAP – Analysis Manager
Data Cube Creation Decision Trees
Remote DesktopRemote Desktop Go to
Start All Programs Accessories Communications Remote Desktop Connection
Give the Remote server address as “130.101.10.2”
Enter your Remote Desktop Login ID and Password
Don’t ever click the ‘X’ on top of the window, go to Start Logoff
Connecting from Home Connect to VPN
In Remote ServerIn Remote Server You can find Microsoft SQL Server in
Programs.
SQL Server services: Analysis Services Enterprise Manager Query Analyzer Import and Export Data etc..
Import and Export Import and Export DataData To import or export data click
Start Programs Microsoft SQL Server Import and Export Data
Generally our Data Sources will be text files with data separated by commas or tabs etc.
Select the Delimiter, qualifier etc. Destination database to be used is
cs07_676 for this class. Can use either SQL Authentication or
Windows Authentication
Enterprise ManagerEnterprise Manager To open Enterprise Manager
Start Programs Microsoft SQL Server Enterprise Manager
Can view the data in the form of Table To open Query Analyzer
Start Programs Microsoft SQL Server Query Analyzer
Preprocessing of data can be done using SQL Queries
Analysis ManagerAnalysis Manager To open Analysis Manager go to
Start Programs Microsoft SQL Server Analysis Services Analysis Manager
Go to Console Root Analysis Servers sqlserver cs09_676
Create a new Data Source Select Server name, authentication,
database (cs07_676) etc.
Data CubeData Cube Open new Cube Wizard
Select Data Source, Measures
Select or create new Dimension
Process the cube
Define Aggregations
Decision TreeDecision Tree Right Click on the Cube
Select new Mining model
Decision trees and Clustering can be done.
Select Dimension and level
Process model if measures or dimensions are changed
Questions?Questions?
Email: Email: [email protected] Hours: 4 PM to 7PM Office Hours: 4 PM to 7PM
WednesdayWednesday