What is Data mining?

Data mining can define as a process of extracting patterns from data. So it is the drawing out of hidden predictive data from huge databases. Data mining derives its name from the similarities between searching for valuable information in a large database.

We can identify data mining is as an increasingly important tool by modern business to transform data into business intelligence giving an informational advantage. Because it is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Long process of research and product development Data mining techniques are become results. Data mining has become increasingly common in both the public and private sectors. Organizations use data mining as a tool to survey customer information, reduce fraud and waste, and assist in medical research.

Data mining commonly involving tasks:

When we move for a detail study about the data mining, we can identify that data mining commonly involves four classes of tasks as follows,

Clustering :

It is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data.

Classification:

It is the task of generalizing known structure to apply to new data.

Regression:

This is the attempts to find a function which models the data with the least error.

Association rule learning :

Searches for relationships between variables.