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Data Mining
Information RetrievalData Mining
Data Mining
Spam Email
YahooGmailHotmail
Naive Bayesian
Data Mining
Naive Bayesian Classifier
.
Data ware haws
Working with data mining
Dm
:
:
.
.
.
-Case-Based reasoning
-Rule Discovery:
-Signal Processing:
-Neural Nets:
.
-Fractals:
-Profiling Populations:
.
-Analysis of Business Trend:.
-Target Marketing:.
-Usage Analysis:
-Campaign Effectiveness:
.
-.
(exponential).
.
2.
3
.
(SSAS)AnalysisMicrosoft SQL Server
Microsoft SQL Server
Dm
Creating an analysis services project :
Dmanalysis services project
Dm
Adding mining structures
Analysis server project
Analysis server project
OlAPOLAP :
Online Fanatical process
Working with Dm models :
analysis services
creating
predictions
Dmx = Data miming Extension
Dmx ssAsd
SQL server Reporting :
SSAS
DMX
Working programinatically unit Dmx
Dmx
Dmx
Xml(ASSL)
Analysis services languages
Analysis management object = Amo
SQl
SQl server
Serviesadministrator tool
SQl server
start up type(Automatic )
SQl server Agentnservices
SQl serverSQl server
SQl server Analysis services (SSAS)
Structure modelData Minig wizard
SQl server Analysis services (SSAS)
SQl server Manegement studio
server
options
serverAnalysis service
server type
wanlan
server namenetwork service
lan
pc3
Analysis server
data
minig
inefLfOTake
TasksinefLfOTake
Copy databaseinstance
instAnCE
copy database
instancecopy data
next
source
next
instance
next
use the attach and attach method
offhinc
use the SQl Management object method
on line
instance
reattachinstance
instance
next
online
next
SQl server Agent
Attach
Analyze
ToolDatabase wizard Analyze
statistics
next
scott
selceted objectnext
finish
Microsoft SQL Server 2005
Mining structures
Mining models
bussiness intellegence development
file + new project + analysis services project
Ok
project + new data source
Next
new data source
localhost
new data source view
project + new data soursce view
Next
next
next + finish
new Mining structuresdata sourcedata source
view
project + new Mining structures
Next
Next
which data minig technique do you want use
Microsoft clustering (
next
input tablescase
next
finish
datat minig wizardminig structure
minig model
new data sourcenew data source view
projectnew minig structure
1-
olap
minig model
data minig
next
minig structurenext
microsoft clustering
microsoft clustering
string
next
data source views
next
input tables
case
nestedcasenext
input
predictablenextfinish
noNew Dimensi
project
New Dimension
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