Data mining is the process of extracting useful patterns and insights from large datasets. It is an essential part of data analytics.

Data mining

Data Mining — Summary

Data Mining

Data mining is the process of discovering patterns, trends, and insights from large datasets using statistical and computational methods.

It involves extracting useful information from data by identifying patterns and relationships among variables.

Techniques used in Data Mining

• Clustering
• Classification
• Regression
• Association Rule Mining
• Sequential Pattern Mining
• Text Mining
• Sentiment Analysis
• Web Mining

Applications of Data Mining

• Marketing and Sales
• Finance and Banking
• Healthcare
• Fraud Detection
• Social Media Analysis
• Customer Relationship Management
• Manufacturing and Production
• Transportation and Logistics

Data mining is an important tool for businesses and organizations to gain insights and make informed decisions based on data-driven analysis.

It helps to identify patterns and trends that may not be visible through manual analysis, and can be used to improve efficiency, reduce costs, and increase revenue.

Originally published at Smart Data Kit.
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