Association Rules Members

Data mining for Association Rules is a powerful method for analyzing data that includes transactions, lists of items, unique phrases (in text mining) in large databases.

In general, association rules take the form if / then. For example, if Car=Corvette and Age<21 then Risk=High and Insurance=High, or if customers ordered product A then they often also ordered product B or C. Association rules enable analysts and researchers to uncover hidden patterns in seemingly unrelated data.
Note: Learn more about the object model by reading Statistica user documentation. The Statistica application's user interface and object model have similar options. The documentation contains overviews of the analytics, descriptions of the input and output for the analyses, and step-by-step examples.