Data mining is the process of discovering meaningful, novel and interesting patterns from large amount of data. Data mining tools predict future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. For discovering relations between variables in large databases association rules are formulated. Association rules are widely used for market basket analysis. Two of the widely used algorithms for generation of association rules are apriority and eclat.
market basket analysis, association rules, support, eclat.