An Exploratory Technique for Investigating Large Quantities of Categorical Data

1980/01/01 by G. V. Kass, Gordon V. Kass · 10 citations
Computer Science · Mathematics · #Advanced Database Systems and Queries #Advanced Statistical Methods and Models #Data Management and Algorithms

paper · doi:10.2307/2986296

crossref issued 1980/01/01 · crossref published 1980/01/01 · crossref published-print 1980/01/01 · openalex publication_date 1980/01/01 · crossref created 2006/06/18 · crossref deposited 2021/07/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03 · crossref indexed 2026/08/03

Abstract

SUMMARY 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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