Transcript Enterprise Manager

Data Mining
Instructor: Dr C. C. Chan
Presented by
Uday Seelam
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 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 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 Data

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 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 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 Cube

Open new Cube Wizard

Select Data Source, Measures

Select or create new Dimension
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Process the cube
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Define Aggregations
Decision 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?
Email: [email protected]
Office Hours: 4 PM to 7PM Wednesday