Data Mining Methods
Data Mining Methods. Data mining is refereed to as extracting or mining knowledge from large amounts of data. It involves discovering useful patterns and relationships within complex data sets. Data mining encompasses various methods and techniques for discovering patterns, trends, and insights from large datasets. Here are some commonly used data mining methods: Data Mining Methods Association Rule Learning: Association rule mining identifies patterns of co-occurrence or association between items in a dataset. It is commonly used in market basket analysis to discover relationships between products frequently purchased together. Classification: Classification algorithms categorize data into predefined classes or categories based on input features. Common classification algorithms include decision trees, logistic regression, support vector machines (SVM), and naive Bayes classifiers. Clustering: Clustering algorithms group similar data points into clusters or s...
