1. By: Megan Ryan Phillip Striggow Jonathan Zamora Marquenon Franklin
Data Mining
By: Megan Ryan Phillip Striggow Jonathan Zamora Marquenon Franklin

2. What is Data Mining?

3. Data Mining Data (also known as Knowledge Discovery)
Process of extracting, analyzing, converting and summarizing data.
From jumbled-up data from large databases to useful information.
Combining methods from statistics and artificial intelligence with database management.

4. The Importance Important tool to transform data into information.
Profiling practices
Marketing
Surveillance
Scientific discovery
Businesses
organizations.
Organize data
track right info
wages employees get at work.

5. Advantages of Data Mining
Can unearth facts about customers
Lend automation benefits to existing hardware and software
Enhances efficiency and saves money
Market/retail
helps to foretell products that customers would like to buy especially identifying patterns.
Helps law enforcement
profiling

6. Disadvantages Privacy issues Security issues
hackers hack sensitive data
Security issues
some companies don't have sufficient or reliable security systems to protect the information.
Misuse of information/inaccurate information

7. Who uses Data Mining?

8. Private and Public Sectors
The medical community
help predict the effectiveness of a procedure or medicine
The healthcare industry
to re-route health claims to best-of-breed providers
identify characteristics of most successful employees
determine specific promotions to send to those recipients
Pharmaceutical firms
research of chemical compounds and genetic material
Insurance and banking
detect fraud and assist in risk assessment
Many retailers and grocery stores
most sold items

9. Aiding in Federal Government Cases
Law
help detect patterns of crimes
government disperse their resources to where they need to go
help make us safer as a whole if we know how criminals act

10. Development of Games and Video Games
Provider
information on what the consumer wants
how to implement the user into the game
knows how the game is going to prevail
creates a pattern and how the games can be developed or rejected
Aid in more sales and increase the popularity of these games

11. Wal-Mart and Data Mining
Record sent directly to the suppliers
Supplier send products that are being sold most
Good inventory
Adequate warehouse supply
Wal-Mart and the supplier
know what the consumer wants

12. Microsoft Fight against phishing
Technology in financial company websites and E- commerce sites
characteristics of the site
IP address, DNS, IP address

13. Conclusion: who uses data mining?
Huge asset to several industries
provide great insight into things that can be prevented
Security purposes
Government
Law enforcement
Commercial
Successful businesses

14. What technology is used for Data Mining?

15. Technology used in Data Mining
Three major technologies that makes data mining possible
Massive data collection
Powerful multiprocessor computers
Data Mining algorithms

16. Massive data collection
Explosive growth of database warehouses
September 2005-Oracle powered the world’s largest commercial database(100 TB) (Winter Corporation Top Ten Program)
Tripled the previous world’s largest database(29.2 TB) by Oracle in 2003
As of today, Oracle is not even in the top three largest databases in the world
Shows how massive data collection has evolved-makes sense to use data mining to get useful information

17. (source: www.focus.com)
By the numbers
2011 top 3 largest databases in the world
World Data Centre for Climate
220 terabytes of web data
6 petabytes of additional data
National Energy Research Scientific Computing Center
2.8 petabytes of data
Sprint
323 terabytes of information
1.9 trillion phone call records
(source:

18. Powerful multiprocessor computers
Parallel multiprocessing
Computers with more than one CPU or processor core that simultaneously execute programs
Makes programs run faster
Can go through huge data at a very high speed

19. (source: www.unusualbookmarklets.com)
By the numbers
2011 Fastest clocked CPU
Intel Celeron D-347 CPU cooled with liquid nitrogen
8.20 GHz processing speed
2011 Fastest desktop CPU in the market
AMD Phenom III X4 980
3.7 GHz processing speed
2011 Fastest laptop CPU in the market
Intel Core i7-2920XM Processor Extreme Edition
2.5 GHz processing speed
(source:

20. Data mining algorithms
Used in analyzing data
Composed of well known mathematical algorithms and techniques
Integrated in software and hardware used for data mining

21. Types used in Data Mining
Classification algorithms - predict one or more discrete variables, based on the other attributes in the dataset
Regression algorithms - predict one or more continuous variables, such as profit or loss, based on other attributes in the dataset
Segmentation algorithms - divide data into groups, or clusters, of items that have similar properties
Association algorithms - find correlations between different attributes in a dataset
Sequence analysis algorithms - summarize frequent sequences or episodes in data, such as a Web path flow

22. Is it ethical to use Data Mining?

23. Is it Ethical?
Goes both ways…depending on perspective