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An Exploratory Technique for Investigating Large Quantities of Categorical Data
Author(s) -
Kass G. V.
Publication year - 1980
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2986296
Subject(s) - categorical variable , exploratory data analysis , computer science , data mining , statistics , mathematics
S ummary The technique set out in the paper, chaid , is an offshoot of aid (Automatic Interaction Detection) designed for a categorized dependent variable. Some important modifications which are relevant to standard aid include: built‐in significance testing with the consequence of using the most significant predictor (rather than the most explanatory), multi‐way splits (in contrast to binary) and a new type of predictor which is especially useful in handling missing information.