Fundamental of Data Mining and significance in database technology

Data Mining : Data mining is a process of extracting knowledge from massive volume of data.It refers to a way of finding significant and useful information from an organization's data base.The knowledge which is extracted can include pattern types , association rules and different trends.Data mining is not confined to a particular organization.instead it has techniques explore the knowledge hidden in any data.The different techniques used for digging out data are artificial intelligence, statistical and mathematical techniques and pattern recognition techniques.

Organizations that makes use of data mining techniques are benefited in their corresponding business area by identifying the significant trends and anomalies that were not possible to be detected by a human analyst.The association shows important knowledge about the database and entities present in the database.The purpose of data mining is to discover relation that connects different database entities.

The following are the reasons for using data mining.
1.Knowledge discovery.
2.Data visualization.
3.Data correction.

1.Knowledge Discovery : The objective of knowledge discovery process is to identify the invisible correalation ,patterns,trends available in the database.

2.Data Visualization : The objective of data visualization is to "harmonize" large volume of data so as to find a sensible way of displaying data.

3.Data Correction:This process is used to identify and correct incomplete, erroneous,inconsistent data.