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An interactive technique for the analysis of multivariate data
Author(s) -
Press Laurence I.,
Rogers Miles S.,
Shure Gerald H.
Publication year - 1969
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830140504
Subject(s) - computer science , heuristics , linear discriminant analysis , multivariate statistics , decision tree , data mining , artificial intelligence , data analysis , action (physics) , machine learning , physics , quantum mechanics , operating system
IDEA, a computer program for Inductive Data Exploration and Analysis, is operational under SDC's O‐32 time‐sharing system. Using IDEA, a researcher, through on‐line inter action with his data, is able to explore various ways of accounting for relationships that exist among his measurements. Instead of conventional poly‐nominal regression coefficients, IDEA represents these relationships as decision trees whose form, shape, depth and so on are determined by the user from his data, using unique IDEA heuristics to guide him. Three case studies are reported in which IDEA is contrasted with discriminant analysis. A summary is made of a preliminary study using artificial data of the effect of measurement error on IDEA analysis.