An Exploratory Technique for Investigating Large Quantities of Categorical Data | Zendy

Kass G. V. | Zendy

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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.

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