Association Rule Mining in XML Databases: Performance Evaluation and Analysis

Data mining is the process of extracting useful information from the huge amount of data stored in the databases. Data mining tools and techniques help to predict business trends those can occur in near future. Association rule mining is an important technique to discover hidden relationships among items in the transaction. Association rules is a popular and well researched method for finding interesting relation between variables in large databases. For generating strong association rules, it depends on the association rule extraction by any algorithm for example Apriori algorithm or FP-growth etc and the evolution of the rules by different interestingness measure for example support/confidence, lift/interest, correlation coefficient, statistical correlation, leverage, conviction, etc.

Provided by: International Journal on Computer Science and Technology (IJCST) Topic: Big Data Date Added: Dec 2010 Format: PDF

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