Predictive adaptive resonance theory and knowledge discovery in databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1805, Issue , 2000, Pages 173-176

  Tan, Ah Hwee ^a   Soon, Hui Shin Vivien ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE ENGINEERING;

ADAPTIVE RESONANCE THEORY; ADAPTIVE RESONANCE THEORY NETWORKS; BENCHMARK EXPERIMENTS; INCREMENTAL LEARNING; KNOWLEDGE DISCOVERY IN DATABASE; LARGE SCALE DATA SETS; PREDICTIVE PERFORMANCE; VERY LARGE DATABASE;

DATA MINING;

EID: 84942764374     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45571-x_21     Document Type: Conference Paper

References (5)

1. Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., Rosen, D. B.: Fuzzy ARTMAP; A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks, 3 (1992) 698-713
2. Carpenter, G. A., Tan, A.-H.: Rule extraxtion: From neural architecture to symbolic representation. Connection Science, 7 (1995) 3-27
3. Kohavi, R.: Scaling up the accuracy of naive-bayes classifiers: a decision-tree hybrid. Proceedings, KDD-96 (1996)
4. Murphy, P. M., Aha, D. W.: UCI repository of maehine learning databases [machinereadable data repository]. Irvine, CA: University of California, Department of Information and Computer Science (1992)
5. Tan, A.-H.; Adaptive Resonance Associative Map. Neural Networks 8 (1995) 437-446