In this slide you know about what is data mining. why we learn data mining. Data mining process. Steps of data mining. Data mining application and some other information of data mining.
4. We need data mining for
Transforming data into useful information to users
Present data in useful format
Provide data access to business analyst, Information
technology professionals
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5. An abundance of data
Super Market Scanners, POS data
Credit cards transactions
Call Center records
ATM Machines
Demographic data
Sensor Networks
Cameras
Web server logs
Customer web site trails
Geographic Information System
National Medical Records
Weather Images
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6. Data Mining is the technique used to carry out KDD.
Data Mining turns data into information and then to
knowledge
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Information
Data
Knowledge
7. RapidMiner and Weka – Defining data mining process
Top 8 data mining software in 2008
1. Angoss software
2. Infor CRM Epiphany
3. Portrait Software
4. SAS
5. SPSS
6. ThinkAnalytics
7. Unica
8. Viscovery
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8. 1. Data cleaning
To remove noise and inconsistent data
2. Data integration
To integrate (compile) multiple data sources
3. Data selection
Data relevant to analysis is selected
4. Data transformation
Summary normalization aggregation operations are
performed (convert data into two dimension form) and
consolidate the data
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9. 5. Data mining
Intelligent methods are applied to the data to discover
knowledge or patterns
6. Pattern evaluation
Evaluation of the interesting patterns by thresholding
7. Knowledge Discovery
Visualization and presentation methods are used to present
the mined knowledge to the user.
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