All Major Data Mining Techniques Explained With Examples

Data mining is a crucial process in extracting valuable insights from large datasets to help organizations make informed decisions. This article delves into the major data mining techniques used in the industry, such as classification, clustering, regression, association rule mining, text mining, time series analysis, decision trees, neural networks, collaborative filtering, and dimensionality reduction. Each technique is explained in detail with real-world examples to illustrate their application and benefits.

Data mining, techniques, classification, clustering, regression, association rule mining, text mining, time series analysis, decision trees, neural networks, collaborative filtering, dimensionality reduction

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