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Data Mining Methods

Data mining is the process of using statistical analysis and machine learning to reveal hidden patterns or odd things in large datasets because of this you can help make important decisions and predict what’s going to happen. it’s where you take data such as structured data, an image, video, text etc and train it, deploy and serve it then you can get actionable insights and application events. 

The techniques are classification which is used to organise data into different classes or categories so it trains a model on labelled data and uses it to predict the class.

Regression is used to predict numbers or continuous values based on relationships so it finds the function or model that best fits the data to make accurate predictions. 

Clustering is used to group similar data uncover patterns or structures in the data without any classes or labels. 

There is also association rule, anomaly detention, time series analysis, neural networks, decision trees, ensemble methods and lastly text mining. 

https://www.qlik.com/us/data-analytics/data-mining

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