Data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analyzing data patterns in large batches of data using one or more software. Data mining has applications in multiple fields like science and research. As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner. Data mining is one of the emerging topics of database management systems. with the help of data mining, you can examine a pre-existing database to generate new information. Data mining involves effective data collection and warehousing as well as computer processing.

Important of data mining software

Data mining are used in various areas to make system intelligent, to get the important analysis. Anyway manual analysis is hard for huge amounts of Information. there are many software are used by organizations for data analysis and data mining.

· Omni Analyser
· Data Applied
· Senn
· GMDH Shell
· NLTK
· ANGOSS Knowledge STU
· GeneXpro Tools

Key features of data mining :

1. Focus on large data sets and database for analysis.
2. Automation pattern predictions based on trend and behaviour analysis.
3. Creation of decision-oriented information.
4. Prediction based on likely outcomes.
5. Clustering based on finding and visually documented groups of facts not previously known.

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