The following presentation provides you information about Data mining and the ways it helps your business.

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3. • Introduction
• Motivation
• Problem Statement
• Solution
• Data Mining Concept
– Application Areas
• In Afghanistan
– Data Mining Process
– Services & Tools
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4. • Expenses and needed to apply the solution in
a business
• Suggestion
• Future Trends
• Conclusion
• References
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5. • Increasing the use of computer technologies
in the past decades
– Rapidly increasing and making large databases
• Two questions:
– Is this collected data useful?
– Could a business use the collected data in a beneficial way?
• No time to look at the stored data
– Ways are needed to analyze, classify and summarize it
automatically
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6. • New tools and techniques are needed: The
best Tools is Data Mining
• Data Mining exciting area of database
research community
– Analyzing a collection of data and extracting useful information
among this data, providing beneficial information
• Data Mining in Afghanistan
– It is not being used so much or it is not known
– Some companies are using in their daily processes
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7. • Travel to Kabul and see the bad situation of the
business of Afghanistan
• My teachers’ suggestion (Mr. Tokhi & Miss. Jamal
(Kabul University Teacher))
• My interest in learning more about Data Mining
• Help the business of Afghanistan to improve like the
businesses of other countries
– Finding ways and tools which could be used in different businesses in
Afghanistan and suggest them
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• Data storage is increasing
• Large amounts of papers are
produced
• Lose percentage of data is high
• No beneficial use of stored data
• Problems in inventory tracking
• High risks in import or export
data
• Problems in daily transactions
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• The best solution for a
business would be:
– Having computerized databases
– Use a tool to analyze the stored
data to help the businesses to
make better decisions to
improve their businesses.
• Data mining could be the best
technology!
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• Analysis of (often large) observational data sets
• Find unsuspected relationships
• Summarizing the data in novel ways that are
both understandable and useful to the data
owner
• Knowledge provided by data mining could be
used for different purposes
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• Business Intelligence
– A big super market could use the historical data
about its customers to provide a better
relationship with the customer
– Providing products according to the favors of the
customers and make benefits
• Artificial Intelligence
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• Google Analytics
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• OLAP (Online Analytical Processing)
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• Facebook
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• Study your stored data
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• Provide new offers
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Exploration
Pattern
Identification
Deployment
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• Market Segmentation
– Finding common behaviors among customers
• Customer Churn
– Estimate the number of customers who stopped
purchasing its products or services
• Fraud Detection
– Which purchases are the most likely to be fraudulent
• Interactive Marketing
– Customers who are purchasing your products online
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• Market Basket Analysis
– What products or services are being purchased
together
• Trend Analysis
– Exposing the difference in purchases of a
customer between current and previous month.
• Automatic recognition of patterns
– Find important relationships that could allow you
to make strategic decisions
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• Data Mining Tools:
– Traditional Tools (Like Excel)
– Dashboards
– Text Mining Tools
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• According to the researches which were done
it may cost between 5000 – 1000 $ for
smaller businesses(or more for other
businesses) in Afghanistan.
• According to the interview which I had with
different companies they could pay between
3000– 6000 $ for this solution
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• All the companies in Afghanistan should use
an applicable computerized database
• Each database should have the same
characteristics in a field of business
• Data of all businesses should be deleted and
new computerized data should be used
• Developing a unique database for the
businesses of Afghanistan
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• Developing a Data Mining software which
could be applicable for the business and
business situation in Afghanistan.
• I have started to work on it and anyone who
is interested could attend in this process
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1. Business intelligence secrets for unfair competitive advantage (By Bozidar
Kralj and Kresimir Futivic)
2. Data Mining applications for empowering knowledge societies (By: Halikur
Rahman)
3. Data Mining concepts and techniques (By: Jiawei Han and Micheline
Kamber)
4. Introduction to Data Mining and its applications (By: S.Sumathi,
S.N.Sivanandam)
5. Principles of Data Mining (By: Max Bramer)
6. Principles of Data Mining, MIT Press, 2011 (By: David Hand, Hekki Mannila
& Padhraic Smyth)
7. Data Mining practical machine learning tools and techniques (By: Lan H.
Witten, Eibe Frank, Mark AHall
8. Data Mining techniques in grid computing environments (Editor: Werner
Dubitzky, John Wiely)
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