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Volumn 2007, Issue , 2001, Pages 46-61

Identifying temporal patterns for characterization and prediction of financial time series events

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FINANCE; FINANCIAL DATA PROCESSING;

EID: 33750564702     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45244-3_5     Document Type: Conference Paper
Times cited : (14)

References (29)
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  • 8
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    • D. J. Berndt and J. Clifford,. Finding Patterns in Time Series: A Dynamic Programming Approach,. in Advances in knowledge discovery and data mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthursamy, Eds. Menlo Park, California: AAAI Press, 1996, pp. 229-248.
    • (1996) Advances in knowledge Discovery and Data Mining , pp. 229-248
    • Berndt, D.J.1    Clifford, J.2
  • 14
    • 84974671204 scopus 로고    scopus 로고
    • proceedings of International Conference on Knowledge Discovery and Data Mining, New York, NY
    • V. Guralnik, D. Wijesekera, and J. Srivastava,. Pattern Directed Mining of Sequence Data,. proceedings of International Conference on Knowledge Discovery and Data Mining, New York, NY, 1998, pp. 51-57.
    • (1998) Pattern Directed Mining of Sequence Data , pp. 51-57
    • Guralnik, V.1    Wijesekera, D.2    Srivastava, J.3
  • 21
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    • Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence
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    • Holland, J.H.1
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    • 0000942950 scopus 로고    scopus 로고
    • Recurrence plot analysis: To embed or not to embed?
    • J. Iwanski and E. Bradley,. Recurrence plot analysis: To embed or not to embed?,. Chaos, vol. 8, pp. 861-871, 1998.
    • (1998) Chaos , vol.8 , pp. 861-871
    • Iwanski, J.1    Bradley, E.2
  • 28
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    • Improving Computational Performance of Genetic Algorithms: A Comparison of Techniques
    • Late Breaking Papers, Las Vegas, Nevada
    • R. J. Povinelli,. Improving Computational Performance of Genetic Algorithms: A Comparison of Techniques,. proceedings of Genetic and Evolutionary Computation Conference (GECCO-2000) Late Breaking Papers, Las Vegas, Nevada, 2000, pp. 297-302.
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