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A novel method for stock forecasting based on Fuzzy Time Series combined with Longest Common/Repeat Sub-sequence

He-Wen Chen, Zih-Ci Wang, Shu-Yu Kuo, Yao-Hsin Chou. A novel method for stock forecasting based on Fuzzy Time Series combined with Longest Common/Repeat Sub-sequence. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016. pages 3818-3823, IEEE, 2016. [doi]

Authors

He-Wen Chen

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Zih-Ci Wang

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Shu-Yu Kuo

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Yao-Hsin Chou

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