The application of stream data time-series pattern reliance mining in stock market analysis

With the rapid development of computer information technology, a new data model-the stream data emerged. The stream data is coming continuously, quickly, changing with time, and may be unpredictable and unlimited in the way. The emergence of stream data has brought new challenges from the nature of the data to static database technology and data mining technology. At present, the stream data has been widely used in telecommunications, financial securities, retail trade and other fields. The paper proposes a mining model and algorithm of stream data time-series pattern reliance in a dynamic stock market through the research of al stream data time-series pattern mining algorithms and applications, and then does short-term forecasts on the stocks with pattern reliance to provide rational guidance for stock investors.