Publication | Closed Access
An Exploratory Technique for Investigating Large Quantities of Categorical Data
2.8K
Citations
13
References
1980
Year
EngineeringInteraction ModelData ExplorationLarge-scale DatasetsProgram EvaluationData ScienceData MiningManagementData IntegrationData CodingBig DataStatisticsUnstructured DataAutomatic Interaction DetectionInteraction TechniqueKnowledge DiscoverySignificant PredictorComputer ScienceCategorical DataData SetHuman-computer InteractionCategorized Dependent VariableData Modeling
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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