DATA MINING

 PRANAV M.M
3rd SEM -BCA, NCMS

Data mining is a process of extracting hidden predictive information from the extensive database. Data mining is used by the organization to turn raw data into useful information. Most of the organization use different software to look at pattern in large batches of data. A businessman can learn more about their client’s behaviour toward your business by using the software.

Goals of Data Mining:

• Prediction: Determine how certain attributes will behave in the future.
• Identification: Identify pattern in data
• Classification: Partition data into classes
• Optimization: Optimize the use of limited resources such as time, space, money or materials.

Application of Data Mining:

• Data mining has opened a world of possibilities for business.
• This field of computational statistics compares millions of isolated pieces of data and is used by companies to detect and predict consumer behaviour.
• Data mining is playing is crucial role in business wants to know the customer relationship and market analysis.
• Apart from that, it is also helpful in science, medicine, human rights, games, and many more.

Some application domains

-Biomedical and DNA data analysis

-Financial data analysis

-Retail industry

-Telecommunication industry