Time-based multi-layer perceptron for novelty detection in sensor networks

Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04

Volumn , Issue , 2004, Pages 156-163

  Von Pless, Gregory ^a   Karim, Tayeb Al ^a   Reznik, Leonid ^a  

^a Rochester Institute of Technology   (United States)

Author keywords

Novelty detection; Sensor networks; Time series prediction

Indexed keywords

DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; MULTILAYER NEURAL NETWORKS; ROBOTICS; TIME SERIES ANALYSIS;

FALSE ALARM; NOVELTY DETECTION; SENSOR NETWORKS; TIME SERIES PREDICTION;

SENSORS;

EID: 21244449179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Ma J., Perkins S., "Time-series novelty detection using one-class support vector machines", Proceedings of the International Joint Conference on Neural Networks, 20-24 July 2003, pp. 1741-1745.
2. th International Conference on Intelligent systems, Reno, Nevada, June 19-21, 1996.
3. th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, Edmonton, Canada, July 23-26, 2002, pp. 550-556.
4. Guralnik V., Srivastave J., "Event detection from time series data". In Proceedings of the International Conference on Knowledge Discovery and Data Mining, San Diego, Ca, 1999.
5. Singh S., Markou, M., "An approach to novelty detection applied to the classification of image regions", IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 4, April 2004, pp. 396-407.
6. Reznik L., Negnevitsky M., Hoffman C., "Contents Based Security Enhancement in Sensor Networks Protocols", Proceedings of IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Venice, Italy, July 21-22, 2004.
7. Vesanto J. and E. Alhoniemi, "Clustering of the Self-Organising Map", IEEE Trans. Neural Networks, vol. 11, no. 3, 2000, pp. 586-600.
8. H. Sohn H., K. Worden, and C.R. Farrar, "Novelty Detection Using Auto-Associative Neural Network", Proc. Symp. Identification of Mechanical Systems: Int'l Mechanical Eng. Congress and Exposition, 2001.
9. Streifel R., R.J. Maks, and M.A. El-Sharkawi, "Detection of Shorted-Turns in the Field of TurbineGenerator Rotors Using Novelty Detectors - Development and Field Tests", IEEE Transactions on Energy Conversation, vol. 11, no. 2, 1996, pp. 312-317.
10. Tarassenko L., A. Nairac, N. Townsend, and P. Cowley, "Novelty Detection in Jet Engines", Proc. IEEE Colloqium Condition Monitoring, Imagery, External Structures and Health, 1999, pp. 41-45.
11. Y. Li, M.J. Pont, and N.B. Jones, "Improving the Performance of the Radial Basis Function Classifiers in Condition Monitoring and Fault Diagnosis Applications where 'Unknown' Faults May Occur", Pattern Recognition Letters, vol. 23, 2002, pp. 569-577.
12. J.A. Parikh, "A Comparative Study of Cloud Classification Strategies", Remote Sensing of the Environment, vol. 6, 1977, pp. 67-81.