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Volumn 2336, Issue , 2002, Pages 481-493

News sensitive stock trend prediction

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; DROPS; ELECTRONIC TRADING; FILTRATION; TIME SERIES;

EID: 84945303678     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47887-6_48     Document Type: Conference Paper
Times cited : (87)

References (23)
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    • S. B. Achelis. Technical Analysis from A to Z. Irwin Professional Publishing, Chicago, 2nd edition, 1995.
    • (1995)
    • Achelis, S.B.1
  • 8
    • 0002714543 scopus 로고    scopus 로고
    • Making large-Scale SVM Learning Practical
    • B. Sholkopf and C. Burges and A. Smola, MIT-Press
    • T. Joachims. Making large-Scale SVM Learning Practical. Advances in Kernel Methods-Support Vector Learning. B. Sholkopf and C. Burges and A. Smola, MIT-Press, 1999.
    • (1999) Advances in Kernel Methods-Support Vector Learning
    • Joachims, T.1
  • 9
    • 0000636553 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with many relevant features
    • Springer
    • T. Joachims. Text Categorization with Support Vector Machines: Learning with many relevant features. In Proceedings of the European Conference on Machine Learning, Springer, 1998.
    • (1998) Proceedings of the European Conference on Machine Learning
    • Joachims, T.1
  • 10
    • 84983224534 scopus 로고    scopus 로고
    • A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
    • AAAl Press
    • E. Keogh and P. Smyth. A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. In Proceedings of the 3rd International Conference of KDD, 24-40, AAAl Press, 1997.
    • (1997) Proceedings of the 3rd International Conference of KDD , pp. 24-40
    • Keogh, E.1    Smyth, P.2
  • 12
    • 0002862737 scopus 로고    scopus 로고
    • Fast and Effective Text Mining Using Linear-time Document Clustering
    • San Diego, California
    • B. Larsen and C. Aone. Fast and Effective Text Mining Using Linear-time Document Clustering. In Proceedings of the 5th International Conference on KDD, San Diego, California, 1999.
    • Proceedings of the 5th International Conference on KDD , pp. 1999
    • Larsen, B.1    Aone, C.2
  • 18
    • 0017500411 scopus 로고
    • A Theoretical Basis for the use of Co-occurance Data in Information Retrieval
    • C. J. van Rijsbergen. A Theoretical Basis for the use of Co-occurance Data in Information Retrieval. Journal of Documentation, 33:106-119, 1977.
    • (1977) Journal of Documentation , vol.33 , pp. 106-119
    • Van Rijsbergen, C.J.1
  • 19
    • 0028667329 scopus 로고
    • Hidden Markov Models for Fault Detection in Dynamic Systems
    • P. Smyth. Hidden Markov Models for Fault Detection in Dynamic Systems. Pattern Recognition, 27(1), 149-164, 1994.
    • (1994) Pattern Recognition , vol.27 , Issue.1 , pp. 149-164
    • Smyth, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.