5.4.5 - Rules - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Teradata Warehouse Miner
Release Number
February 2018
English (United States)
Last Update

What does an Association analysis produce and what types of measurements does it include? An association analysis produces association rules and various measures of frequency, relationship and statistical significance associated with these rules. Association rules are of the form {X1, X2, ...Xn} {Y1, Y2, Ym} where {X1, X2, ...Xn} is a set of n items that appear in a group along with a set of m items {Y1, Y2, Ym} in the same group. For example, if checking, saving and credit card accounts are owned by a customer, then the customer will also own a certificate of deposit (CD) with a certain frequency. Relationship means that, for example, owning a specific account or set of accounts, (antecedent), is associated with ownership of one or more other specific accounts (consequent). Association rules, in and of themselves, do not warrant inferences of causality, however they may point to relationships among items or events that could be studied further using other analytical techniques which are more appropriate for determining the structure and nature of causalities that may exist.