Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Quantitative Association Rules

  • Xingquan ZhuEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_291


Numeric association rules


Quantitative association rules refer to a special type of association rules in the form of XY, with X and Y consisting of a set of numerical and/or categorical attributes. Different from general association rules where both the left-hand and the right-hand sides of the rule should be categorical (nominal or discrete) attributes, at least one attribute of the quantitative association rule (left or right) must involve a numerical attribute. Examples of this type of association rule can be categorized into the following two classes, depending on whether the rules are measured by the frequency of the supporting data records or by some distributional features of some numerical attributes.
  1. 1.

    Frequent Rules: Out of all applicants whose age is between 30 and 39 and marriage status is “yes,” (→) 95% of them have two cars, and 10% applicants in the database satisfy this rule.

  2. 2.

    Distributional Rules: If the patient is non-smoker and...

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Florida Atlantic UniversityBoca RatonUSA

Section editors and affiliations

  • Jian Pei
    • 1
  1. 1.School of Computing ScienceSimon Fraser Univ.BurnabyCanada