Abstract
The research is based on FP-Tree algorithm for mining frequent phase sets that use hash tables and conditional probability formula stock association rules between the ups and downs, and on this basis to make a system for publishing mining information. Due to space constraints, article focuses on FP-Tree algorithm and data mining analysis and implementation. Significance of this research is that data mining for stock data integration applications. Stock data by mining association rules for the user's stock trading and trend analysis play a guiding role. It also can be applied to the stock arbitrage, long-term buying and selling contracts, and stock price movements correlations investment issues.
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