Predicting processes when embedded events occur: Dynamic time warping

Journal of Quality Technology

Volumn 35, Issue 2, 2003, Pages 213-226

  Nelson, Benjamin J ^a,b   Runger, George C ^b  

^a WEYERHAEUSER COMPANY   (United States)

^b Arizona State University   (United States)

Author keywords

Forecasting techniques; Time series analysis

Indexed keywords

DATA PROCESSING; ERRORS; FORECASTING; MATHEMATICAL MODELS; PRODUCTION; RANDOM PROCESSES;

DYNAMIC TIME WARPING TECHNIQUE;

TIME SERIES ANALYSIS;

EID: 1642438105     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.2003.11980209     Document Type: Article

References (11)

1. Berndt, D. J. and Clifford, J. (1996). "Finding Patterns in Time Series: A Dynamic Programming Approach" in Advances in Knowledge Discovery and Data Mining edited by U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, AAAI Press, Menlo Park, CA, pp. 229-248.
2. Box, G. E. P.; Jenkins, G. M.; and Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control, 3rd ed. Prentice-Hall, Upper Saddle River, NJ.
3. Cho, H.-W. and Kim, K.-J. (2003). "A Method for Predicting Future Observations in the Monitoring of a Batch Process". Journal of Quality Technology 35, pp. 59-69.
4. Forster, C. and Handwerker, H. O. (1990). "Automatic Classification and Analysis of Microneurographic Spike Data using PX/AT". Journal of Neuroscience Methods 31, pp. 109-118.
5. Gollmer, K. and Posten, C. (1996). "Supervision of Bioprocesses using a Dynamic Time Warping Algorithm". Control Engineering Practice 4, pp. 1287-1295.
6. Grant, P. M. (1991). "Speech Recognition Techniques". Electronics and Communication Engineering Journal, February, pp. 37-48.
7. Nicklas, J. M.; Lee, J. W.; and Jenkins, J. M. (1985). "A Novel Template Matching Algorithm for ST-T Segment Analysis". Computers in Cardiology edited by K. L. Ripley, IEEE Computer Society Press, Washington, D.C., pp. 237-240.
8. MacDonald, I. L. and Zucchini, W. (1997). Hidden Markov and Other Models for Discrete-valued Time Series. Chapman and Hall, New York, NY.
9. Montgomery, D. C.; Johnson, L. A.; and Gardiner, J. S. (1990). Forecasting and Time Series Analysis. McGraw-Hill, New York, NY.
10. Rabiner, L. R.; Levinson, S. E.; and Sondhi, M. M. (1983). "On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition". The Bell System Technical Journal 62(4), pp. 1075-1105.
11. Wang, J. Y.; Shaya, M. N.; Helfenbein, E. D.; Sullivan, D. M.; Kramer, M. R.; Forbes, A. D.; and Jimison, H. B. (1982). "The Design and Evaluation of a Real-Time Arrhythmia Monitoring Algorithm". Computers in Cardiology, Ninth Meeting of Computers in Cardiology, IEEE Computer Society Press, pp. 363-366.