This document provides an overview of data mining. It defines data mining as the process of analyzing data from different perspectives to extract useful information. The document then explains that data mining is used by companies to analyze large amounts of data and discover relationships that can help increase revenue or cut costs. It provides examples of how data mining has been used in various industries and lists the basic steps and types of data mining.

1. 1) Definition
2)Explanation
3) How Data Mining
Works
4) Basic Steps of
Data Minig.
5) Steps of what
Data to pick for
data Mining
6)Example.
7). Business
Intellegence (BI) &
Data Mining.
8)Types Of Data
Mining.
9) Types Of Data
Mining.
10)Result Validation
DATA MINING

2. Data mining is the process
of analyzing data from
different perspectives and
summarizing it into useful
information.
to extract information
from a data set and
transform it into an
understandable
structure for further
use
DEFINITION.

3.  Data Mining is the Process that is used by big
companies or organizations to handle,balance and
analyzing big data.
 Data mining is primarily used today by companies
with a strong consumer focus - retail, financial,
communication, and marketing organizations. It
enables these companies to determine relationships
among internal factors such as price, product
positioning, or staff skills, and external factor.
 It is used by the companies to increase their revenue
or cut their costs or both.
EXPLANATION

4.  While large-scale
information technology
has been evolving
separate transaction and
analytical systems, data
mining provides the link
between the two.
 Data mining software
analyzes relationships
and patterns in stored
transaction data based
on open-ended user
queries.
HOW DATA MINING WORKS

5. Following are some software's used for Data Mining:
 Microsoft SQL SERVER 2005.
 Microsoft SQL SERVER 2008.
 Oracle Data Mining etc.
SOFTWARE'S FOR DATA MINING:

6. 1) Data Integration.
2)Data Selection.
3)Data Cleaning.
4)DataTransformation
5)Data Mining.
STEPS OF WHAT DATA TO PICK FOR
DATA MINING:

7.  One Super Market in Canada used data mining capacity of
Oracle Software to analyze local buying patterns.They
discovered that when Mens bought Food for home on Saturday
and Sunday They like to tended to buy beer.On Other days of
the week mens don’t usually buy beers.
The Shopkeeper said to his workers to put sufficient
amount of beers on Saturday and Sunday.In this way income of
the shop was increased.
EXAMPLE

8. BI refers to
applications &
technologies which
are use to gather
information about
their company
opertaions.
Data Mining is
importand part of
business intellegence.
BUSINESS INTELLEGENCE (BI) & DATA
MINING:

9. Some Basic Examples of Use of Data Mining Are Given Below:
1) In Finance Data Mining is used for Credit Cards Analysis.
2) Astronomy:
Palomar Obstervatory discovered 22 quasars with the
help of Data Mining.
3) Telecommunication:
In Telecommunication Data Mining is used for Call
Records.
4) Offices:
In Offices it is used for to balance data and records of the
staff. etc
APPLICATIONS OF DATA MINING:

10.  Following are the types of
Data Mining:
1) Assoication Rule is
used for store layout.
Etc.
2) Classification is used
for weather prediction.
Etc.
3) Clustering is used for
Graphical Represention
of Universe.
4) Sequential Pattern is
used for medical
diagnosis.
TYPES OF DATA MINING:

11. • The final step of knowledge
discovery from data is to verify that
the patterns produced by the data
mining algorithms occur in the wider
data set.
RESULTS VALIDATION