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Data Mining Techniques Overview by MArcel is a document available to read on EtoBox.
What is Data Mining Techniques Overview about?
Data mining is the process of analyzing large datasets to uncover unknown trends and patterns for decision-making. Techniques include classification, clustering, regression, anomaly detection, and others, each serving specific purposes in data analysis. Examples illustrate how data mining can predict housing price trends, student dropout rates, and potential fraud in online marketplaces.
- Author
- MArcel
- Language
- EN