Have you ever been astonished to see an ad for something you were just chatting about or an idea based on something you Google? So, you already know how useful data mining can be. Companies utilize data mining to transform raw data into meaningful information. Businesses may learn more about their customers by employing software to seek for trends in massive batches of data. This allows them to design more successful marketing campaigns, improve sales, and cut costs. Effective data collection, warehousing, and computer processing are required for data mining. Building a mining model is part of a bigger process that covers everything from posing questions about the data to developing a model to answer those questions to deploying the model in a real-world setting. The following six basic steps can be used to characterize this process: Identifying the Issue, Data Preparation, Data Exploration, Creating Models, Model Validation and Exploration, Model Deployment and Update. Data mining techniques are Classification, Clustering, Regression, Outer, Sequential Pattern, Prediction, Association Rules.

Rohith Madhu

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