This document provides an overview of data mining, including what it is, how it works, advantages and disadvantages. Data mining involves analyzing large amounts of data from different perspectives to discover useful patterns and relationships. It works by extracting, transforming and loading transaction data into a data warehouse where it can then be analyzed and presented. Data mining can help companies understand customer behavior and make better business decisions. While it provides benefits like increased revenue and cost reductions, privacy and security issues must also be addressed.

2.  Introduction.
 Continuous Innovation.
 Data Information and knowledge.
 What can data mining do.
 Hoe does data mining work.
 Advantages and disadvantages.
 Conclusion.
 References.
What I am Going to
Discuss:-

3. Introduction:-
 Generally, data mining (sometimes called data
or knowledge discovery) is the process of
analyzing data from different perspectives and
summarizing it into useful information -
information that can be used to increase
revenue, cuts costs, or both.
 data mining is the process of finding
correlations or patterns among dozens of fields
in large relational databases.

4. Continuous Innovation:-
 Although data mining is a relatively new
term, the technology is not. Companies have
used powerful computers to sift through
volumes of supermarket scanner data and
analyze market research reports for years.

5. Data, Information and Knowledge :-
 Data:-
Data are any facts, numbers, or text that can be
processed by a computer. Today, organizations
are accumulating vast and growing amounts of
data in different formats and different
databases.
 Information:-
The patterns, associations, or relationships
among all this data can provide information.

6. Continue…
 Knowledge
Information can be converted into
knowledge about historical patterns and
future trends. For example, summary
information on retail supermarket sales can
be analyzed in light of promotional efforts to
provide knowledge of consumer buying
behavior.

7. Five major elements of
Data mining :-
 Extract, transform, and load transaction data
onto the data warehouse system.
 Store and manage the data in a
multidimensional database system.
 Provide data access to business analysts and
information technology professionals.
 Analyze the data by application software.
 Present the data in a useful format, such as a
graph or table.

8. What can data mining do?
 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" factors such as economic indicators,
competition, and customer demographics.

9. How does data mining work.?
 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.
 Types of relationships of Data Mining.
1. Class
2. Clusters
3. Associations
4. Sequential Patterns

10. Advantages and Disadvantages
of Data Mining
 Advantages:-
1. Marketing / Retail
2. Finance / Banking
3. Manufacturing
4. Governments
 Disadvantages:-
1. Privacy Issues
2. Security issues

11. Conclusion:-
 Data mining brings a lot of benefits to
businesses, society, governments as well as
individual. However privacy, security and
misuse of information are the big problems
if they are not addressed and resolved
properly.

12. References:-
 www.google.com
 www.ask.com
 www.seminar.com
 www.wikipedia.com