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Volumn 2, Issue , 2013, Pages 123-126

Support Vector Regression for prediction of stock trend

Author keywords

data mining; forecasting; stock prediction; support vector regression

Indexed keywords

FINANCIAL MARKET; FORECASTING TOOLS; PREDICTIVE TOOLS; REGRESSION MODEL; STOCK FORECASTING; STOCK PREDICTIONS; SUPPORT VECTOR REGRESSION (SVR); TIME-SERIES DATA;

EID: 84893691897     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIII.2013.6703098     Document Type: Conference Paper
Times cited : (32)

References (10)
  • 1
    • 13544267510 scopus 로고    scopus 로고
    • Forecasting stock market movement direction with support vector machine
    • October
    • Wei Huang, Yoshiteru Nakamori, Shou-Yang Wang, "Forecasting stock market movement direction with support vector machine", Computers & Operations Research, Volume 32, Issue 10, October 2005, Pages 2513-2522.
    • (2005) Computers & Operations Research , vol.32 , Issue.10 , pp. 2513-2522
    • Huang, W.1    Nakamori, Y.2    Wang, S.3
  • 2
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Kluwer Academic Publishers, Boston
    • C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition", Data Mining and Knowledge Discovery, Volume 2, pp. 1-43, Kluwer Academic Publishers, Boston, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 1-43
    • Burges, C.J.C.1
  • 3
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik, "Support Vector Networks", Machine Learning, 20, 273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 6
    • 0004192924 scopus 로고    scopus 로고
    • Classification properties of support vector machines for regression
    • N. Ancona, Classification Properties of Support Vector Machines for Regression, Technical Report, RIIESI/CNR-Nr. 02/99.
    • Technical Report, RIIESI/CNR-Nr. 02/99
    • Ancona, N.1
  • 7
    • 70350705025 scopus 로고    scopus 로고
    • Feature selection algorithm based on association rules mining method
    • Jianwen Xie, Jianhua Wu, Qingquan Qian: Feature Selection Algorithm Based on Association Rules Mining Method. ACIS-ICIS 2009:357-362.
    • (2009) ACIS-ICIS , pp. 357-362
    • Xie, J.1    Wu, J.2    Qian, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.