Stock Market Trading Rules Discovery Based on Biclustering Method
作者： Yun Xue , Zhiwen Liu , Jie Luo , Zhihao Ma , Meizhen Zhang
DOI: 10.1155/2015/849286
关键词:
摘要: The prediction of stock market’s trend has become a challenging task for a long time, which is affected by a variety of deterministic and stochastic factors. In this paper, a biclustering …
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core.ac.uk 参考文章(22)
Qinghua Huang, A Biclustering Technique for Mining Trading Rules in Stock Markets Communications in Computer and Information Science. pp. 16- 24 ,(2011) , 10.1007/978-3-642-23214-5_3
George M. Church, Yizong Cheng, Biclustering of Expression Data intelligent systems in molecular biology. ,vol. 8, pp. 93- 103 ,(2000)
Laura Lazzeroni, Plaid models for gene expression data ,(2000)
Antonio C. Briza, Prospero C. Naval, Stock trading system based on the multi-objective particle swarm optimization of technical indicators on end-of-day market data soft computing. ,vol. 11, pp. 1191- 1201 ,(2011) , 10.1016/J.ASOC.2010.02.017
Qinghua Huang, Ting Wang, Dacheng Tao, Xuelong Li, Biclustering Learning of Trading Rules IEEE Transactions on Cybernetics. ,vol. 45, pp. 2287- 2298 ,(2015) , 10.1109/TCYB.2014.2370063
Eugene F. Fama, Marshall E. Blume, Filter Rules and Stock-Market Trading The Journal of Business. ,vol. 39, pp. 226- 241 ,(1966) , 10.1086/294849
Petri Törönen, Mikko Kolehmainen, Garry Wong, Eero Castrén, Analysis of gene expression data using self‐organizing maps FEBS Letters. ,vol. 451, pp. 142- 146 ,(1999) , 10.1016/S0014-5793(99)00524-4
William Leigh, Naval Modani, Russell Purvis, Tom Roberts, Stock market trading rule discovery using technical charting heuristics Expert Systems With Applications. ,vol. 23, pp. 155- 159 ,(2002) , 10.1016/S0957-4174(02)00034-9
Jean-Yves Potvin, Patrick Soriano, Maxime Vallée, Generating trading rules on the stock markets with genetic programming Computers & Operations Research. ,vol. 31, pp. 1033- 1047 ,(2004) , 10.1016/S0305-0548(03)00063-7
Yudong Zhang, Lenan Wu, Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network Expert Systems With Applications. ,vol. 36, pp. 8849- 8854 ,(2009) , 10.1016/J.ESWA.2008.11.028