nabil299@Gmail.com

-Email:

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 :

Dm analysis 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 :

SSASDMX

Working programinatically unit Dmx

Dmx

DmxXml (ASSL)

Analysis services languages

Analysis management object = Amo

SQl

SQl server

Servies administrator tool

SQl server

start up type (Automatic )

SQl server Agentnservices

SQl serverSQl server

SQl server Analysis services (SSAS)Structure model Data Minig wizard

SQl server Analysis services (SSAS)

SQl server Manegement studio

server options

server Analysis service

server type

wan

lan

server name network service

lan

pc3

Analysis server

data

minig

inefLfOTake

Tasks inefLfOTake

Copy database instance instAnCE

copy database

instance copy data

next

source

next

instance

next

use the attach and attach method offhinc

use the SQl Management object method on line

instance

reattach instance instance

next

online

next

SQl server Agent Attach

Analyze

Tool

Database wizard Analyze

statistics

next

scott selceted object

next

finish

Microsoft SQL Server 2005Mining structures

Mining models

bussiness intellegence development

file + new project + analysis services project

Ok

project + new data source

Next

new data sourcelocalhost

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 tables case

next

finish datat minig wizard minig structure

minig model

new data source new data source view

project new minig structure 1-

olap minig model

data minig

next

minig structurenext

microsoft clustering

microsoft clustering

string next

data source viewsnext

input tables

case nested case next

input

predictablenext finish

noNew Dimensi

projectNew Dimension