This document discusses data mining and its uses. Data mining involves analyzing data from different perspectives to extract useful information that can increase revenue or reduce costs. It primarily benefits companies with a strong consumer focus. For example, Walmart captures sales data from its stores and shares it with suppliers so they can better manage inventory and identify opportunities. The results of data mining in the short term will be profitable but mundane, helping with marketing. In the medium term, data mining may become as easy to use as email. In the long term, data mining could unlock new medical treatments or insights into science when applied to large datasets.

2. 
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.

3. 
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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.

4. 
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Data mining is primarily used today by companies with
a strong consumer focus - retail, financial,
communication, and marketing organizations.
For Example, WalMart is pioneering massive data
mining to transform its supplier relationships. WalMart
captures point-of-sale transactions from over 2,900
stores in 6 countries and continuously transmits this
data to its massive 7.5 terabyte Teradata data
warehouse. WalMart allows more than 3,500 suppliers,
to access data on their products and perform data
analyses. These suppliers use this data to identify
customer buying patterns at the store display level.
They use this information to manage local store
inventory
and
identify
new
merchandising
opportunities.

5. 

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In the short-term, the results of data mining will be in
profitable, if mundane, business related areas. Micromarketing campaigns will explore new niches. Advertising will
target potential customers with new precision.
In the medium term, data mining may be as common and
easy to use as e-mail. We may use these tools to find the
best airfare to New York, root out a phone number of a longlost classmate, or find the best prices on lawn mowers.
The long-term prospects are truly exciting. Imagine intelligent
agents turned loose on medical research data or on subatomic particle data. Computers may reveal new treatments
for diseases or new insights into the nature of the universe.

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9. PROJECT
EXPLANATION
PROJECT
CONFIGURATION
PROJECT
EXECUTION

10. Latest IEEE 2013 Projects
Served 35000 students and more than 55 university rank
holders.
Experienced Trainers with certifications.
Software Training for the latest technology.
Cegonsoft provides knowledge into practice through
industrial projects.
We provide Placement Assistance in reputed IT Firms.
Free Soft skill Training and Personality Development
Training.
Sufficient usage of Lab for Practical Session.
Good Infrastructures.

11. For Further Details regarding projects Click on
http://www.cegonsoft.org/Final-Year-IEEE-Projects-Bangalore
Contact – Madhavi
Phone: 8494903771