Data mining based automated reverse engineering and defect discovery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5812, Issue , 2005, Pages 232-242

  Smith III, James F ^a   Nguyen, ThanhVu H ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Data mining; Defect discovery; Genetic algorithms; Genetic programs; Knowledge discovery; Reverse engineering

Indexed keywords

DEFECT DISCOVERY; DESIGN SPECIFICATIONS; GENETIC PROGRAMS (GP); KNOWLEDGE DISCOVERY;

DATABASE SYSTEMS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; REVERSE ENGINEERING; SEARCH ENGINES; SENSORS; SIGNAL PROCESSING;

DATA MINING;

EID: 27544496284     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.602077     Document Type: Conference Paper

References (17)

1. J.P. Bigus, Data Mining with Neural Nets, Chapter 1, McGraw-Hill, New York, 1996.
2. J.R., Koza, F.H. Bennett III, D. Andre, and M.A. Keane,Genetic Programming III: Darwinian Invention and Problem Solving. Chapter 2, Morgan Kaufmann Publishers, San Francisco, 1999.
3. James F. Smith, III, "Fuzzy logic resource manager: real-time adaptation and self-organization", Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar, Vol. 5429, pp. 77-88, SPEE Proceedings, Orlando, 2004.
4. James F. Smith, III, "Fuzzy logic resource manager: decision tree topology, combined admissible regions and the self morphing property", Signal Processing, Sensor Fusion, and Target Recognition XII, I. Kadar, pp. 104-114, SPIE Proceedings, Orlando, 2003.
5. James F. Smith, III, "Fuzzy Logic Resource Manager: Evolving Fuzzy Decision Tree Structure that Adapts in Real-Time," Proceedings of the International Society of Information Fusion 2003, X. Wang, pp. 838-845, International Society of Information Fusion Press, Cairns, Australia, 2003,
6. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, 1989.
7. J.F. Smith, III and R. Rhyne, II, "A Resource Manager for Distributed Resources: Fuzzy Decision Trees and Genetic Optimization," Proceeding of the International Conference on Artificial Intelligence, IC-AI'99, H. Arabnia, Vol. II, pp. 669-675, CSREA Press, Las Vegas, 1999.
8. James F. Smith, III and Andrew Blank; "Co-evolutionary data mining for fuzzy rules: automatic fitness function creation, phase space, and experiments", Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, B. Dasarathy, pp. 59-70, SPIE Proceedings, Orlando, 2003.
9. James F. Smith, III, "Co-evolutionary Data Mining to Deal with Adaptive Adversaries," Proceeding of the International Conference on Machine Learning and Applications, H. Arabnia, pp. 3-9, CSREA Press, Las Vegas, 2003.
10. James F. Smith, III; Robert D. Rhyne II and Kristin Fisher; "Data mining for multi-agent rules, strategies and fuzzy decision tree structure," Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, B. Dasarathy, pp. 386-397, SPIE Proceedings, Orlando, 2002.
11. James F. Smith, III; "Fuzzy Logic Resource Management in a Multi-agent Adversarial Environment"; Proceeding of the International Conference on Information and Knowledge Engineering, IKE 2002, H. Arabnia, pp. 234-240, CSREA Press, Las Vegas, 2002.
12. James F. Smith, III; "Genetic Program Based Data Mining to Discover Fuzzy Rules," Proceeding of the International Conference on Artificial Intelligence, H. Arabnia, pp. 502-508, CSREA Press, Las Vegas, 2002.
13. J.F. Smith, III and R.D. Rhyne, II, "Genetic Algorithm Based Optimization of a Fuzzy Logic Resource Manager: Data Mining and Co-evolution," Proceeding of the International Conference on Artificial Intelligence, IC-AI'2000, H. Arabnia, Vol. I, pp 421-428, CSREA Press, Las Vegas, 2000.
14. J.F. Smith, III and R. D. Rhyne II, "Fuzzy logic resource manager: tree structure and optimization", Signal Processing, Sensor Fusion, and Target Recognition X, I. Kadar, Vol. 4380, pp.312-323, SPIE Proceedings, Orlando, 2001.
15. James F. Smith, III, "Fuzzy logic resource manager: multi-agent techniques, fuzzy rules, strategies and fuzzy decision tree structure", Signal Processing, Sensor Fusion, and Target Recognition XI, I. Kadar, Vol. 4729, pp. 78-89, SPIE Proceedings, Orlando, 2002.
16. S, Luke and L. Panait, "Fighting Bloat With Nonparametric Parsimony Pressure", Parallel Problem Solving from Nature - PPSN VII. 7th International Conference Proceedings, J.J.M. Guervos, LNCS Vol.2439, pp. 411-421, Springer-Verlag, Berlin, 2002.
17. J. Gribbin, Companion to the Cosmos, p. 299, The Orion Publishing Group Ltd, London, 1996.