Predictive adaptive resonance theory and knowledge discovery in databases

• Main Authors: TAN, Ah-hwee, SOON, Hui-Shin Vivien
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2000
• Subjects: Adaptive Resonance Theory; Category Node; Algorithm; Benchmark Experiment; Pattern Pair; Databases and Information Systems; Numerical Analysis and Scientific Computing; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6084; https://ink.library.smu.edu.sg/context/sis_research/article/7087/viewcontent/Tan_Soon2000_PredictiveAdaptiveResonance_pv.pdf
• Institution: Singapore Management University

This paper investigates the scalability of predictive Adaptive Resonance Theory (ART) networks for knowledge discovery in very large databases. Although predictive ART performs fast and incremental learning, the number of recognition categories or rules that it creates during learning may become sub...