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Transcript of Data Mining
By: Erica Nguyen
The process of analyzing large amounts of data to turn it into useful information.
What Can It be Used For?
Target individuals with advertisements.
Collect information from customers to determine trends.
Help companies make decisions based on the information.
WHO USES DATA MINING?
PROCESS OF DATA MINING
Business Understanding: Discover problems and needs.
DATA MINING SOFTWARE TOOLS
ESTARD Data Miner is software used for data mining.
Name: Erica Nguyen
Teacher: Mr. Tait
Date: June 19, 2013
An entertainment store that allows renting videos could mine data to determine the history of preferred videos, and use that information to promote or recommend other videos to those individuals.
Introduced in 1990's
Increase in data mining started when data got stored in computers.
Collecting and storing data began the 60's.
1980: Introduction of relational database.
1990: Data warehousing began.
Data mining roots back into 3 categories.
Statistics: Foundation of which data mining is built. (It involves dealing with trends and relationships.)
Artificial Intelligence: Human intelligence/thought from statistical problems.
Machine Learning:Technique that combines both concepts of statistics and human thought together.
Data Understanding: Data is collected from sources, and are examined.
Data Preparation:Data is selected, cleaned, constructed and transformed.
Modeling:Models are created to analyze the data, and search for trends and relationships using algorithms.
Evaluation: Determine goals and purposes of the process, and make actions.
Can Be Used By:
Accounting & Inventory Management
Program Includes Modules For:
Requirements for this software:
OS:Windows 98, Microsoft Windows NT, Windows 2000, Windows XP, or Home Edition, Windows Vista, or Windows 7.
Processor: 1GHz or better
Memory: 256 MB RAM (512 recommended)
Disk Space: Installation footprint is about 9 MB.
Data MINING TOOLS
Traditional Data Mining Tools:
Programs used to organize and establish trends.
Installed in desktops to monitor and gather trends outside a data base.
Installed in a computer to monitor information in a database.
Makes updates on screen.
Mine data from different kinds of texts documents.
advantages and DISADVANTAGES OF DATA MINING
Helps marketing companies predict outcomes of business and/or make decisions.
Gives financial institutions information, and credit reporting.
Helps banks detect fraudulent credit card transactions.
Help government agencies analyze records of financial information.
Information might be acquired by others, or could get leaked out.
Hackers might steal data, or personal information.
Misuse of information or inaccurate information.
Why DID I CHOOSE THIS TOPIC?
I was interested to learn about how data mining works.
How companies can utilize the littlest information on the internet and make it useful.
I was more intrigued by the techniques that are used to track information.
Thoughts of WHAT MIGHT HAPPEN IN THE FUTURE
It will continue to increase as technology develops and becomes more advanced.
Mainly used for business purposes.
Used for privacy, such as preventing hackers or frauds.
Companies track everything on the internet.
Target customers with advertisements.
"Introduction: Defining Data Mining"
"What Can It Be Used For?"
"Data Mining Concepts":
"Background Information: History"
"Process of Data Mining"
"Data Mining Software Tools"
"Data Mining Tools/Techniques"
"Advantages and Disadvantages of Data Mining"
Data mining will increase if companies find it effective.