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Data mining encompasses techniques for discovering patterns in large datasets, including association rule mining, classification, clustering, regression analysis, and time series analysis. Supervised learning uses labeled data to learn input-output mappings, while unsupervised learning explores inherent structures in unlabeled data. Classification categorizes inputs into classes, and prediction estimates continuous numerical outputs. Typical steps in data mining are data collection, preprocessing, explorato

Author

Anand Panduranga

Language

EN