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Pattern Tracking: Pattern tracking is one of the most important and fundamental data mining techniques. Here, data scientists and researchers will track patterns of changes or abnormalities in the given data set and use them for the purpose for which it is trakced. Examples of this Data Mining Technique: sales of a certain brand spikes just before winter or sales of a certain product dips just before exams.

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Regression: Regression is a Data Mining Technique which is primarily used for modelling and planning. Here, data scientists look for the presence of absence of any variable, trend or parameter based on the presence or absence of certain other variables.

Prediction: Prediction is an Important Data Mining Technique. Here, data scientists can make predictions based on their study of previous or historical trends. In other words, they try to predict the likelihood of an event or trend based on historical data trends.

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