Research Of Stock Reliance In MFI-TransSW Algorithm

Data stream is a new type of data model,and its development is only 20 years.Data stream mining has been a hot and difficult topic of in the field of data mining and databases.In this paper,a detailed analysis of the current review of the status based on at home and abroad and mining data stream mining algorithm the first time would make more efficient data stream mining of frequent itemsets in MFI-TransSW algorithm used in practice,and detailed information on MFI-TransSW algorithm rank the core content of the work of law principles and the process of mining frequent itemsets.In this article and share the relevance of model-dependent analysis of calculation and combination of the excavation can be a more accurate dependence between stocks.In this paper,the first application of the MFI-TransSW algorithm,and the stock mining model to rely on real-time mode,you can rely on the relationship with the stock model to carry out excavation and projections,that is,when a specific model stocks,and the other will be what the stock kind of model.The research results can be short-term trends in stock prices and reasonable projections,the stock market to meet the user's query and analysis of real-time requirements for the investment decisions of investors and stock investors to provide theoretical guidance,and for the future the development of mining data streams to lay a certain foundation.