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- W2769549968 abstract "Stock price prediction is considered as one of the most challenging and important tasks. It is so complex and uncertainly, so that it is not enough to only use financial indicators for stock price prediction. As we known, patents is not only can protect the companies technologies' development and promote the advance of the core technologies, but can be used as one of the evaluation indicators to estimate the company's innovation activities. Therefore, patents have an influence on turbulence and fluctuations of companies' stock price. The aim in this study is to adopt patent and financial indicators for stock-price prediction. Thus, we collect patent and financial data as the attributes to predict the stock price by regression analysis. The experimental results show the proposed approach can accurately predict companies' stock price." @default.
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- W2769549968 date "2017-07-01" @default.
- W2769549968 modified "2023-09-26" @default.
- W2769549968 title "A Study of Patent Analysis for Stock Price Prediction" @default.
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- W2769549968 doi "https://doi.org/10.1109/icisce.2017.34" @default.
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