Research On The Application Of Stream Data Mining Algorithms In The Financial Sector

At present, the stream data mining as a new knowledge discovery tools, has aroused theattention of the financial sector, in the current financial sector, many companies have the flowof data mining technology to the financial data analysis, data mining in the financial sectorapplication according to the characteristics of the financial sector and the business area isdivided into the financial sector of the market analysis, customer value analysis, thebrokerage business analysis and risk analysis based on the use of data mining model isdivided into different time-series analysis, correlation analysis, cluster analysis, the deviationof abnormal analysis and evolutionary genetic simulation. Among them, the stock marketanalysis is the use of one of the areas in the financial sector data mining, data mining methodsin the financial sector in the stock market analysis, with important theoretical and practicalsignificance.This article uses the literature, comparative analysis, qualitative and quantitative researchmethods combining convection data mining algorithms in the financial sector. In the courseof the study, the first part of the introduction to research the background and significance ofthe research status of stream data mining, content and method of thesis, thesis structure andinnovation of this paper to do a brief introduction; overview of the theory then convectiondata mining algorithms to do the exposition; on this basis, the detailed description of theapplication of background data mining algorithms in the financial sector, mainly from anoverview of the following four aspects: the data characteristics in the financial sectormid-stream of the financial areas of data mining technology feasibility analysis, the financialsector mid-stream data mining algorithm for applications involving the key technologies forthe financial sector flow data mining algorithms to analyze; Finally, the convection datamining applied research in the financial field, the algorithm implementation.