Data Mining Methods(4)

 Bilal Hussain Malik 

                                                          Data Mining Methods

                                                Association Rule Learning

This method reveals significant variable interactions in big data, primarily for market basket analysis. Apriori identifies rules like "customers who buy X also buy Y" through support, confidence, and lift metrics. These patterns are then used by retailers for product position, promotions, and stock control. While beneficial in transactional data mining, the procedure can generate numerous unimportant rules that need to be well-filtered. It is excellent at discovering latent purchasing patterns but needs big data to generate useful results. Other uses include medicine (co-occurrence of symptoms) and web use mining.