# Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

### Quantitative Association Rules Based on Statistical Inference Theory [Aumann and Lindell@DMKD’03]

- Finding extraordinary and therefore interesting phenomena, e.g.,
- (Sex = female) => Wage: mean=$7/hr (overall mean = $9)
- LHS: a subset of the population
- RHS: an extraordinary behavior of this subset
- The rule is accepted only if a statistical test (e.g., Z-test) confirms the inference with high confidence
- Subrule: highlights the extraordinary behavior of a subset of the pop. of the super rule
- E.g., (Sex = female) ^ (South = yes) => mean wage = $6.3/hr
- Two forms of rules
- Categorical => quantitative rules, or Quantitative => quantitative rules
- E.g., Education in [14-18] (yrs) => mean wage = $11.64/hr
- Open problem: Efficient methods for LHS containing two or more quantitative attributes

**Speaker notes:**

## Content Tools

Tools

Sources (0)

Tags (0)

Comments (0)

History

Usage

Questions (0)

Playlists (0)

Quality

### Sources

There are currently no sources for this slide.