A neural network for mining large volumes of time series data

Proceedings of the IEEE International Conference on Industrial Technology

Volumn 2005, Issue , 2005, Pages 688-693

  Liang, Bojian ^a   Austin, James ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; NEURAL NETWORKS; PROJECT MANAGEMENT; SEARCH ENGINES; TIME SERIES ANALYSIS;

BUSINESS FORECASTING; INDUSTRIAL PROCESS MONITORING; MEDICAL DATA ANALYSIS; TIME SERIES DATA;

DATA MINING;

EID: 33847282874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2005.1600724     Document Type: Conference Paper

References (15)

1. Fayyad, U., Piatetsky-Shapiro, G. Smyth, P. and Uthurasamy, R.: Advances in Knowledge Discovery and Data Mining, AAAI Press/The MIT Press 1996.
2. Ferrel G. Stremler: Introduction to communication systems, Addison-Wesley Publishing Company, Inc. 1990.
3. Sinnema, W. and McGovern, T.: Digital, analog, and data communication, Prentice-Hall International, Inc. 1986.
4. Ziemer, R.E. and Tranter, W.H.: Principles of communications: Systems, Modulation and Noise Houghton MiffLin Company, Boston. 1995.
5. Gersho, A.: Asymptotically optimal block quantisation, IEEE Transactions on information theory, Vol.IT-25, (1979) 373-380.
6. Sushmita M, Ewnkw5 K.P and Pabitra M.: Data Mining in Soft Computing Framework: A Survey, IEEE Transactions on neural networks, Vols.13 No.1 (2002), 3-14.
7. Keogh, E and Kasetty, S.: On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstrating, SIGKDD, Edmonton, Alberta, Canada, (2002) 102-111.
8. Keogh, E., Chakrabarti, K., Pazzani, M., and Mehrotra, S.: Locally adaptive dimensionality reduction for index large time series databases. In proceedings of ACM SIGMOD Conference on Management of Data, (2001) 151-162.
9. th international Conference on Data Engineering. (1998) 201-220.
10. th international Conference on Very Large Databases. (2000) 385-394.
11. Austin, J.: Distributed associative memories for high speed symbolic reasoning. In, IJCAI Working Notes of workshop on connectionist-Symbolic Integration, ¿From Unified to Hybrid Approaches.(1995) 87-93.
12. Austin, J., Kennedy, J., and Lees, K.: The advanced uncertain reasoning architecture. In Weightless Neural Network Workshop, 1995.
13. Austin, J., Kennedy, J., and Lees, K.: A neural architecture for fast rule matching. In Artificial Neural Networks and Expert Systems Conference (ANNES 95), Dunedin, New Zealand, December 1995.
14. Turner, A., and Austin, J.: Performance evaluation of a fast chemical structure matching method using distributed neural relaxation. In fourth International Conference on Knowledge-based Intelligent Engineering Systems, August 2000.
15. Alwis, S.,and Austin, J.: A novel architecture for trade-mark image retrieval systems. In Electronic Workshops in Computing. Springer, 1998.